From 5a148683ad437d5d87fad83f6e4b15b9363cc633 Mon Sep 17 00:00:00 2001 From: Relintai <relintai@protonmail.com> Date: Sun, 12 Feb 2023 19:17:06 +0100 Subject: [PATCH] Extract class docs. --- doc_classes/MLPPANN.xml | 13 + doc_classes/MLPPActivation.xml | 1239 ++++++++++++++++++++++++ doc_classes/MLPPAutoEncoder.xml | 19 + doc_classes/MLPPBernoulliNB.xml | 13 + doc_classes/MLPPCLogLogReg.xml | 13 + doc_classes/MLPPConvolutions.xml | 13 + doc_classes/MLPPCost.xml | 367 +++++++ doc_classes/MLPPData.xml | 68 ++ doc_classes/MLPPDataComplex.xml | 24 + doc_classes/MLPPDataESimple.xml | 24 + doc_classes/MLPPDataSimple.xml | 24 + doc_classes/MLPPDualSVC.xml | 13 + doc_classes/MLPPExpReg.xml | 13 + doc_classes/MLPPGAN.xml | 13 + doc_classes/MLPPGaussMarkovChecker.xml | 13 + doc_classes/MLPPGaussianNB.xml | 13 + doc_classes/MLPPHiddenLayer.xml | 64 ++ doc_classes/MLPPHypothesisTesting.xml | 13 + doc_classes/MLPPKMeans.xml | 59 ++ doc_classes/MLPPKNN.xml | 38 + doc_classes/MLPPLinAlg.xml | 13 + doc_classes/MLPPLinReg.xml | 13 + doc_classes/MLPPLogReg.xml | 13 + doc_classes/MLPPMANN.xml | 13 + doc_classes/MLPPMLP.xml | 85 ++ doc_classes/MLPPMatrix.xml | 175 ++++ doc_classes/MLPPMultiOutputLayer.xml | 58 ++ doc_classes/MLPPMultinomialNB.xml | 13 + doc_classes/MLPPNumericalAnalysis.xml | 13 + doc_classes/MLPPOutlierFinder.xml | 35 + doc_classes/MLPPOutputLayer.xml | 66 ++ doc_classes/MLPPPCA.xml | 29 + doc_classes/MLPPProbitReg.xml | 91 ++ doc_classes/MLPPReg.xml | 77 ++ doc_classes/MLPPSVC.xml | 79 ++ doc_classes/MLPPSoftmaxNet.xml | 13 + doc_classes/MLPPSoftmaxReg.xml | 83 ++ doc_classes/MLPPStat.xml | 13 + doc_classes/MLPPTanhReg.xml | 13 + doc_classes/MLPPTests.xml | 242 +++++ doc_classes/MLPPTransforms.xml | 13 + doc_classes/MLPPUniLinReg.xml | 46 + doc_classes/MLPPUtilities.xml | 98 ++ doc_classes/MLPPVector.xml | 158 +++ doc_classes/MLPPWGAN.xml | 64 ++ 45 files changed, 3572 insertions(+) create mode 100644 doc_classes/MLPPANN.xml create mode 100644 doc_classes/MLPPActivation.xml create mode 100644 doc_classes/MLPPAutoEncoder.xml create mode 100644 doc_classes/MLPPBernoulliNB.xml create mode 100644 doc_classes/MLPPCLogLogReg.xml create mode 100644 doc_classes/MLPPConvolutions.xml create mode 100644 doc_classes/MLPPCost.xml create mode 100644 doc_classes/MLPPData.xml create mode 100644 doc_classes/MLPPDataComplex.xml create mode 100644 doc_classes/MLPPDataESimple.xml create mode 100644 doc_classes/MLPPDataSimple.xml create mode 100644 doc_classes/MLPPDualSVC.xml create mode 100644 doc_classes/MLPPExpReg.xml create mode 100644 doc_classes/MLPPGAN.xml create mode 100644 doc_classes/MLPPGaussMarkovChecker.xml create mode 100644 doc_classes/MLPPGaussianNB.xml create mode 100644 doc_classes/MLPPHiddenLayer.xml create mode 100644 doc_classes/MLPPHypothesisTesting.xml create mode 100644 doc_classes/MLPPKMeans.xml create mode 100644 doc_classes/MLPPKNN.xml create mode 100644 doc_classes/MLPPLinAlg.xml create mode 100644 doc_classes/MLPPLinReg.xml create mode 100644 doc_classes/MLPPLogReg.xml create mode 100644 doc_classes/MLPPMANN.xml create mode 100644 doc_classes/MLPPMLP.xml create mode 100644 doc_classes/MLPPMatrix.xml create mode 100644 doc_classes/MLPPMultiOutputLayer.xml create mode 100644 doc_classes/MLPPMultinomialNB.xml create mode 100644 doc_classes/MLPPNumericalAnalysis.xml create mode 100644 doc_classes/MLPPOutlierFinder.xml create mode 100644 doc_classes/MLPPOutputLayer.xml create mode 100644 doc_classes/MLPPPCA.xml create mode 100644 doc_classes/MLPPProbitReg.xml create mode 100644 doc_classes/MLPPReg.xml create mode 100644 doc_classes/MLPPSVC.xml create mode 100644 doc_classes/MLPPSoftmaxNet.xml create mode 100644 doc_classes/MLPPSoftmaxReg.xml create mode 100644 doc_classes/MLPPStat.xml create mode 100644 doc_classes/MLPPTanhReg.xml create mode 100644 doc_classes/MLPPTests.xml create mode 100644 doc_classes/MLPPTransforms.xml create mode 100644 doc_classes/MLPPUniLinReg.xml create mode 100644 doc_classes/MLPPUtilities.xml create mode 100644 doc_classes/MLPPVector.xml create mode 100644 doc_classes/MLPPWGAN.xml diff --git a/doc_classes/MLPPANN.xml b/doc_classes/MLPPANN.xml new file mode 100644 index 0000000..a658b40 --- /dev/null +++ b/doc_classes/MLPPANN.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPANN" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPActivation.xml b/doc_classes/MLPPActivation.xml new file mode 100644 index 0000000..e4a55a8 --- /dev/null +++ b/doc_classes/MLPPActivation.xml @@ -0,0 +1,1239 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPActivation" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="arcosh_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="arcosh_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="arcosh_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="arcosh_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="arcosh_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="arcosh_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="arcoth_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="arcoth_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="arcoth_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="arcoth_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="arcoth_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="arcoth_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="arcsch_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="arcsch_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="arcsch_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="arcsch_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="arcsch_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="arcsch_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="arsech_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="arsech_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="arsech_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="arsech_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="arsech_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="arsech_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="arsinh_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="arsinh_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="arsinh_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="arsinh_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="arsinh_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="arsinh_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="artanh_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="artanh_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="artanh_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="artanh_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="artanh_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="artanh_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="cloglog_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="cloglog_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="cloglog_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="cloglog_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="cloglog_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="cloglog_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="cosh_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="cosh_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="cosh_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="cosh_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="cosh_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="cosh_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="coth_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="coth_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="coth_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="coth_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="coth_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="coth_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="csch_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="csch_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="csch_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="csch_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="csch_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="csch_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="elu_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <argument index="1" name="arg1" type="float" /> + <description> + </description> + </method> + <method name="elu_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <argument index="1" name="arg1" type="float" /> + <description> + </description> + </method> + <method name="elu_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <argument index="1" name="arg1" type="float" /> + <description> + </description> + </method> + <method name="elu_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <argument index="1" name="arg1" type="float" /> + <description> + </description> + </method> + <method name="elu_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <argument index="1" name="arg1" type="float" /> + <description> + </description> + </method> + <method name="elu_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <argument index="1" name="arg1" type="float" /> + <description> + </description> + </method> + <method name="gaussian_cdf_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="gaussian_cdf_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="gaussian_cdf_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="gaussian_cdf_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="gaussian_cdf_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="gaussian_cdf_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="gelu_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="gelu_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="gelu_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="gelu_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="gelu_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="gelu_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="leaky_relu_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <argument index="1" name="arg1" type="float" /> + <description> + </description> + </method> + <method name="leaky_relu_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <argument index="1" name="arg1" type="float" /> + <description> + </description> + </method> + <method name="leaky_relu_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <argument index="1" name="arg1" type="float" /> + <description> + </description> + </method> + <method name="leaky_relu_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <argument index="1" name="arg1" type="float" /> + <description> + </description> + </method> + <method name="leaky_relu_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <argument index="1" name="arg1" type="float" /> + <description> + </description> + </method> + <method name="leaky_relu_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <argument index="1" name="arg1" type="float" /> + <description> + </description> + </method> + <method name="linear_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="linear_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="linear_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="linear_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="linear_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="linear_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="logit_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="logit_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="logit_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="logit_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="logit_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="logit_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="mish_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="mish_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="mish_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="mish_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="mish_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="mish_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="relu_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="relu_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="relu_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="relu_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="relu_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="relu_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="run_activation_deriv_matrix"> + <return type="MLPPMatrix" /> + <argument index="0" name="func" type="int" enum="MLPPActivation.ActivationFunction" /> + <argument index="1" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="run_activation_deriv_real"> + <return type="float" /> + <argument index="0" name="func" type="int" enum="MLPPActivation.ActivationFunction" /> + <argument index="1" name="z" type="float" /> + <description> + </description> + </method> + <method name="run_activation_deriv_vector"> + <return type="MLPPVector" /> + <argument index="0" name="func" type="int" enum="MLPPActivation.ActivationFunction" /> + <argument index="1" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="run_activation_matrix"> + <return type="MLPPMatrix" /> + <argument index="0" name="func" type="int" enum="MLPPActivation.ActivationFunction" /> + <argument index="1" name="z" type="MLPPMatrix" /> + <argument index="2" name="deriv" type="bool" default="false" /> + <description> + </description> + </method> + <method name="run_activation_norm_matrix"> + <return type="MLPPMatrix" /> + <argument index="0" name="func" type="int" enum="MLPPActivation.ActivationFunction" /> + <argument index="1" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="run_activation_norm_real"> + <return type="float" /> + <argument index="0" name="func" type="int" enum="MLPPActivation.ActivationFunction" /> + <argument index="1" name="z" type="float" /> + <description> + </description> + </method> + <method name="run_activation_norm_vector"> + <return type="MLPPVector" /> + <argument index="0" name="func" type="int" enum="MLPPActivation.ActivationFunction" /> + <argument index="1" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="run_activation_real"> + <return type="float" /> + <argument index="0" name="func" type="int" enum="MLPPActivation.ActivationFunction" /> + <argument index="1" name="z" type="float" /> + <argument index="2" name="deriv" type="bool" default="false" /> + <description> + </description> + </method> + <method name="run_activation_vector"> + <return type="MLPPVector" /> + <argument index="0" name="func" type="int" enum="MLPPActivation.ActivationFunction" /> + <argument index="1" name="z" type="MLPPVector" /> + <argument index="2" name="deriv" type="bool" default="false" /> + <description> + </description> + </method> + <method name="sech_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="sech_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="sech_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="sech_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="sech_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="sech_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="selu_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <argument index="1" name="arg1" type="float" /> + <argument index="2" name="arg2" type="float" /> + <description> + </description> + </method> + <method name="selu_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <argument index="1" name="arg1" type="float" /> + <argument index="2" name="arg2" type="float" /> + <description> + </description> + </method> + <method name="selu_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <argument index="1" name="arg1" type="float" /> + <argument index="2" name="arg2" type="float" /> + <description> + </description> + </method> + <method name="selu_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <argument index="1" name="arg1" type="float" /> + <argument index="2" name="arg2" type="float" /> + <description> + </description> + </method> + <method name="selu_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <argument index="1" name="arg1" type="float" /> + <argument index="2" name="arg2" type="float" /> + <description> + </description> + </method> + <method name="selu_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <argument index="1" name="arg1" type="float" /> + <argument index="2" name="arg2" type="float" /> + <description> + </description> + </method> + <method name="sigmoid_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="sigmoid_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="sigmoid_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="sigmoid_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="sigmoid_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="sigmoid_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="sign_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="sign_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="sign_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="sign_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="sign_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="sign_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="sinc_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="sinc_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="sinc_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="sinc_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="sinc_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="sinc_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="sinh_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="sinh_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="sinh_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="sinh_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="sinh_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="sinh_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="softmax_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="softmax_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="softmax_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="softmax_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="softmax_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="softmax_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="softplus_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="softplus_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="softplus_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="softplus_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="softplus_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="softplus_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="softsign_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="softsign_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="softsign_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="softsign_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="softsign_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="softsign_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="swish_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="swish_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="swish_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="swish_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="swish_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="swish_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="tanh_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="tanh_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="tanh_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="tanh_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="tanh_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="tanh_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="unit_step_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="unit_step_derivr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="unit_step_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="unit_step_normm"> + <return type="MLPPMatrix" /> + <argument index="0" name="z" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="unit_step_normr"> + <return type="float" /> + <argument index="0" name="z" type="float" /> + <description> + </description> + </method> + <method name="unit_step_normv"> + <return type="MLPPVector" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + </methods> + <constants> + <constant name="ACTIVATION_FUNCTION_LINEAR" value="0" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_SIGMOID" value="1" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_SWISH" value="2" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_MISH" value="3" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_SIN_C" value="4" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_SOFTMAX" value="5" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_SOFTPLUS" value="6" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_SOFTSIGN" value="7" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_ADJ_SOFTMAX" value="8" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_C_LOG_LOG" value="9" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_LOGIT" value="10" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_GAUSSIAN_CDF" value="11" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_RELU" value="12" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_GELU" value="13" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_SIGN" value="14" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_UNIT_STEP" value="15" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_SINH" value="16" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_COSH" value="17" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_TANH" value="18" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_CSCH" value="19" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_SECH" value="20" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_COTH" value="21" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_ARSINH" value="22" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_ARCOSH" value="23" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_ARTANH" value="24" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_ARCSCH" value="25" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_ARSECH" value="26" enum="ActivationFunction"> + </constant> + <constant name="ACTIVATION_FUNCTION_ARCOTH" value="27" enum="ActivationFunction"> + </constant> + </constants> +</class> diff --git a/doc_classes/MLPPAutoEncoder.xml b/doc_classes/MLPPAutoEncoder.xml new file mode 100644 index 0000000..f3af107 --- /dev/null +++ b/doc_classes/MLPPAutoEncoder.xml @@ -0,0 +1,19 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPAutoEncoder" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <members> + <member name="input_set" type="MLPPMatrix" setter="set_input_set" getter="get_input_set"> + </member> + <member name="n_hidden" type="int" setter="set_n_hidden" getter="get_n_hidden" default="0"> + </member> + </members> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPBernoulliNB.xml b/doc_classes/MLPPBernoulliNB.xml new file mode 100644 index 0000000..40c8a90 --- /dev/null +++ b/doc_classes/MLPPBernoulliNB.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPBernoulliNB" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPCLogLogReg.xml b/doc_classes/MLPPCLogLogReg.xml new file mode 100644 index 0000000..4d077c3 --- /dev/null +++ b/doc_classes/MLPPCLogLogReg.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPCLogLogReg" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPConvolutions.xml b/doc_classes/MLPPConvolutions.xml new file mode 100644 index 0000000..c9bb920 --- /dev/null +++ b/doc_classes/MLPPConvolutions.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPConvolutions" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPCost.xml b/doc_classes/MLPPCost.xml new file mode 100644 index 0000000..c12d6b6 --- /dev/null +++ b/doc_classes/MLPPCost.xml @@ -0,0 +1,367 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPCost" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="cross_entropy_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="cross_entropy_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <description> + </description> + </method> + <method name="cross_entropym"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="cross_entropyv"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <description> + </description> + </method> + <method name="dual_form_svm"> + <return type="float" /> + <argument index="0" name="alpha" type="MLPPVector" /> + <argument index="1" name="X" type="MLPPMatrix" /> + <argument index="2" name="y" type="MLPPVector" /> + <description> + </description> + </method> + <method name="dual_form_svm_deriv"> + <return type="MLPPVector" /> + <argument index="0" name="alpha" type="MLPPVector" /> + <argument index="1" name="X" type="MLPPMatrix" /> + <argument index="2" name="y" type="MLPPVector" /> + <description> + </description> + </method> + <method name="hinge_loss_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="hinge_loss_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <description> + </description> + </method> + <method name="hinge_loss_derivwm"> + <return type="MLPPMatrix" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <argument index="2" name="C" type="float" /> + <description> + </description> + </method> + <method name="hinge_loss_derivwv"> + <return type="MLPPVector" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <argument index="2" name="C" type="float" /> + <description> + </description> + </method> + <method name="hinge_lossm"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="hinge_lossv"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <description> + </description> + </method> + <method name="hinge_losswm"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <argument index="2" name="arg2" type="MLPPMatrix" /> + <argument index="3" name="arg3" type="float" /> + <description> + </description> + </method> + <method name="hinge_losswv"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <argument index="2" name="arg2" type="MLPPVector" /> + <argument index="3" name="arg3" type="float" /> + <description> + </description> + </method> + <method name="huber_loss_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <argument index="2" name="arg2" type="float" /> + <description> + </description> + </method> + <method name="huber_loss_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <argument index="2" name="arg2" type="float" /> + <description> + </description> + </method> + <method name="huber_lossm"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <argument index="2" name="arg2" type="float" /> + <description> + </description> + </method> + <method name="huber_lossv"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <argument index="2" name="arg2" type="float" /> + <description> + </description> + </method> + <method name="log_loss_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="log_loss_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <description> + </description> + </method> + <method name="log_lossm"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="log_lossv"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <description> + </description> + </method> + <method name="mae_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="mae_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <description> + </description> + </method> + <method name="maem"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="maev"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <description> + </description> + </method> + <method name="mbe_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="mbe_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <description> + </description> + </method> + <method name="mbem"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="mbev"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <description> + </description> + </method> + <method name="mse_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="mse_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <description> + </description> + </method> + <method name="msem"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="msev"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <description> + </description> + </method> + <method name="rmse_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="rmse_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <description> + </description> + </method> + <method name="rmsem"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="rmsev"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <description> + </description> + </method> + <method name="run_cost_deriv_matrix"> + <return type="MLPPMatrix" /> + <argument index="0" name="cost" type="int" enum="MLPPCost.CostTypes" /> + <argument index="1" name="y_hat" type="MLPPMatrix" /> + <argument index="2" name="y" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="run_cost_deriv_vector"> + <return type="MLPPVector" /> + <argument index="0" name="cost" type="int" enum="MLPPCost.CostTypes" /> + <argument index="1" name="y_hat" type="MLPPVector" /> + <argument index="2" name="y" type="MLPPVector" /> + <description> + </description> + </method> + <method name="run_cost_norm_matrix"> + <return type="float" /> + <argument index="0" name="cost" type="int" enum="MLPPCost.CostTypes" /> + <argument index="1" name="y_hat" type="MLPPMatrix" /> + <argument index="2" name="y" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="run_cost_norm_vector"> + <return type="float" /> + <argument index="0" name="cost" type="int" enum="MLPPCost.CostTypes" /> + <argument index="1" name="y_hat" type="MLPPVector" /> + <argument index="2" name="y" type="MLPPVector" /> + <description> + </description> + </method> + <method name="wasserstein_loss_derivm"> + <return type="MLPPMatrix" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="wasserstein_loss_derivv"> + <return type="MLPPVector" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <description> + </description> + </method> + <method name="wasserstein_lossm"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="wasserstein_lossv"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="y" type="MLPPVector" /> + <description> + </description> + </method> + </methods> + <constants> + <constant name="COST_TYPE_MSE" value="0" enum="CostTypes"> + </constant> + <constant name="COST_TYPE_RMSE" value="1" enum="CostTypes"> + </constant> + <constant name="COST_TYPE_MAE" value="2" enum="CostTypes"> + </constant> + <constant name="COST_TYPE_MBE" value="3" enum="CostTypes"> + </constant> + <constant name="COST_TYPE_LOGISTIC_LOSS" value="4" enum="CostTypes"> + </constant> + <constant name="COST_TYPE_CROSS_ENTROPY" value="5" enum="CostTypes"> + </constant> + <constant name="COST_TYPE_HINGE_LOSS" value="6" enum="CostTypes"> + </constant> + <constant name="COST_TYPE_WASSERSTEIN_LOSS" value="7" enum="CostTypes"> + </constant> + </constants> +</class> diff --git a/doc_classes/MLPPData.xml b/doc_classes/MLPPData.xml new file mode 100644 index 0000000..00ebe97 --- /dev/null +++ b/doc_classes/MLPPData.xml @@ -0,0 +1,68 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPData" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="load_breast_cancer"> + <return type="MLPPDataSimple" /> + <argument index="0" name="path" type="String" /> + <description> + </description> + </method> + <method name="load_breast_cancer_svc"> + <return type="MLPPDataSimple" /> + <argument index="0" name="path" type="String" /> + <description> + </description> + </method> + <method name="load_california_housing"> + <return type="MLPPDataSimple" /> + <argument index="0" name="path" type="String" /> + <description> + </description> + </method> + <method name="load_fires_and_crime"> + <return type="MLPPDataESimple" /> + <argument index="0" name="path" type="String" /> + <description> + </description> + </method> + <method name="load_iris"> + <return type="MLPPDataComplex" /> + <argument index="0" name="path" type="String" /> + <description> + </description> + </method> + <method name="load_mnist_test"> + <return type="MLPPDataComplex" /> + <argument index="0" name="path" type="String" /> + <description> + </description> + </method> + <method name="load_mnist_train"> + <return type="MLPPDataComplex" /> + <argument index="0" name="path" type="String" /> + <description> + </description> + </method> + <method name="load_wine"> + <return type="MLPPDataComplex" /> + <argument index="0" name="path" type="String" /> + <description> + </description> + </method> + <method name="train_test_split"> + <return type="Array" /> + <argument index="0" name="data" type="MLPPDataComplex" /> + <argument index="1" name="test_size" type="float" /> + <description> + </description> + </method> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPDataComplex.xml b/doc_classes/MLPPDataComplex.xml new file mode 100644 index 0000000..2615f32 --- /dev/null +++ b/doc_classes/MLPPDataComplex.xml @@ -0,0 +1,24 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPDataComplex" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="instance_data"> + <return type="void" /> + <description> + </description> + </method> + </methods> + <members> + <member name="input" type="MLPPMatrix" setter="set_input" getter="get_input"> + </member> + <member name="output" type="MLPPMatrix" setter="set_output" getter="get_output"> + </member> + </members> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPDataESimple.xml b/doc_classes/MLPPDataESimple.xml new file mode 100644 index 0000000..ad7d054 --- /dev/null +++ b/doc_classes/MLPPDataESimple.xml @@ -0,0 +1,24 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPDataESimple" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="instance_data"> + <return type="void" /> + <description> + </description> + </method> + </methods> + <members> + <member name="input" type="MLPPVector" setter="set_input" getter="get_input"> + </member> + <member name="output" type="MLPPVector" setter="set_output" getter="get_output"> + </member> + </members> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPDataSimple.xml b/doc_classes/MLPPDataSimple.xml new file mode 100644 index 0000000..b137ba2 --- /dev/null +++ b/doc_classes/MLPPDataSimple.xml @@ -0,0 +1,24 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPDataSimple" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="instance_data"> + <return type="void" /> + <description> + </description> + </method> + </methods> + <members> + <member name="input" type="MLPPMatrix" setter="set_input" getter="get_input"> + </member> + <member name="output" type="MLPPMatrix" setter="set_output" getter="get_output"> + </member> + </members> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPDualSVC.xml b/doc_classes/MLPPDualSVC.xml new file mode 100644 index 0000000..c206a63 --- /dev/null +++ b/doc_classes/MLPPDualSVC.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPDualSVC" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPExpReg.xml b/doc_classes/MLPPExpReg.xml new file mode 100644 index 0000000..eb2729b --- /dev/null +++ b/doc_classes/MLPPExpReg.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPExpReg" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPGAN.xml b/doc_classes/MLPPGAN.xml new file mode 100644 index 0000000..ae159a8 --- /dev/null +++ b/doc_classes/MLPPGAN.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPGAN" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPGaussMarkovChecker.xml b/doc_classes/MLPPGaussMarkovChecker.xml new file mode 100644 index 0000000..4c87f58 --- /dev/null +++ b/doc_classes/MLPPGaussMarkovChecker.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPGaussMarkovChecker" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPGaussianNB.xml b/doc_classes/MLPPGaussianNB.xml new file mode 100644 index 0000000..fc9c16d --- /dev/null +++ b/doc_classes/MLPPGaussianNB.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPGaussianNB" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPHiddenLayer.xml b/doc_classes/MLPPHiddenLayer.xml new file mode 100644 index 0000000..04f1804 --- /dev/null +++ b/doc_classes/MLPPHiddenLayer.xml @@ -0,0 +1,64 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPHiddenLayer" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="forward_pass"> + <return type="void" /> + <description> + </description> + </method> + <method name="initialize"> + <return type="void" /> + <description> + </description> + </method> + <method name="is_initialized"> + <return type="bool" /> + <description> + </description> + </method> + <method name="test"> + <return type="void" /> + <argument index="0" name="x" type="MLPPVector" /> + <description> + </description> + </method> + </methods> + <members> + <member name="a" type="MLPPMatrix" setter="set_a" getter="get_a"> + </member> + <member name="a_test" type="MLPPVector" setter="set_a_test" getter="get_a_test"> + </member> + <member name="activation" type="int" setter="set_activation" getter="get_activation" enum="MLPPActivation.ActivationFunction" default="0"> + </member> + <member name="alpha" type="float" setter="set_alpha" getter="get_alpha" default="0.0"> + </member> + <member name="bias" type="MLPPVector" setter="set_bias" getter="get_bias"> + </member> + <member name="delta" type="MLPPMatrix" setter="set_delta" getter="get_delta"> + </member> + <member name="input" type="MLPPMatrix" setter="set_input" getter="get_input"> + </member> + <member name="lambda" type="float" setter="set_lambda" getter="get_lambda" default="0.0"> + </member> + <member name="n_hidden" type="int" setter="set_n_hidden" getter="get_n_hidden" default="0"> + </member> + <member name="reg" type="int" setter="set_reg" getter="get_reg" enum="MLPPReg.RegularizationType" default="136122720"> + </member> + <member name="set_weight_init" type="int" setter="set_weight_init" getter="get_weight_init" enum="MLPPUtilities.WeightDistributionType" default="0"> + </member> + <member name="weights" type="MLPPMatrix" setter="set_weights" getter="get_weights"> + </member> + <member name="z" type="MLPPMatrix" setter="set_z" getter="get_z"> + </member> + <member name="z_test" type="MLPPVector" setter="set_z_test" getter="get_z_test"> + </member> + </members> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPHypothesisTesting.xml b/doc_classes/MLPPHypothesisTesting.xml new file mode 100644 index 0000000..e9b6d88 --- /dev/null +++ b/doc_classes/MLPPHypothesisTesting.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPHypothesisTesting" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPKMeans.xml b/doc_classes/MLPPKMeans.xml new file mode 100644 index 0000000..eb6e3a8 --- /dev/null +++ b/doc_classes/MLPPKMeans.xml @@ -0,0 +1,59 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPKMeans" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="initialize"> + <return type="void" /> + <description> + </description> + </method> + <method name="model_set_test"> + <return type="MLPPMatrix" /> + <argument index="0" name="X" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="model_test"> + <return type="MLPPVector" /> + <argument index="0" name="x" type="MLPPVector" /> + <description> + </description> + </method> + <method name="score"> + <return type="float" /> + <description> + </description> + </method> + <method name="silhouette_scores"> + <return type="MLPPVector" /> + <description> + </description> + </method> + <method name="train"> + <return type="void" /> + <argument index="0" name="epoch_num" type="int" /> + <argument index="1" name="UI" type="bool" default="false" /> + <description> + </description> + </method> + </methods> + <members> + <member name="input_set" type="MLPPMatrix" setter="set_input_set" getter="get_input_set"> + </member> + <member name="k" type="int" setter="set_k" getter="get_k" default="0"> + </member> + <member name="mean_type" type="int" setter="set_mean_type" getter="get_mean_type" enum="MLPPKMeans.MeanType" default="0"> + </member> + </members> + <constants> + <constant name="MEAN_TYPE_CENTROID" value="0" enum="MeanType"> + </constant> + <constant name="MEAN_TYPE_KMEANSPP" value="1" enum="MeanType"> + </constant> + </constants> +</class> diff --git a/doc_classes/MLPPKNN.xml b/doc_classes/MLPPKNN.xml new file mode 100644 index 0000000..555af97 --- /dev/null +++ b/doc_classes/MLPPKNN.xml @@ -0,0 +1,38 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPKNN" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="model_set_test"> + <return type="PoolIntArray" /> + <argument index="0" name="X" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="model_test"> + <return type="int" /> + <argument index="0" name="x" type="MLPPVector" /> + <description> + </description> + </method> + <method name="score"> + <return type="float" /> + <description> + </description> + </method> + </methods> + <members> + <member name="input_set" type="MLPPMatrix" setter="set_input_set" getter="get_input_set"> + </member> + <member name="k" type="int" setter="set_k" getter="get_k" default="0"> + </member> + <member name="output_set" type="MLPPVector" setter="set_output_set" getter="get_output_set"> + </member> + </members> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPLinAlg.xml b/doc_classes/MLPPLinAlg.xml new file mode 100644 index 0000000..5eb9145 --- /dev/null +++ b/doc_classes/MLPPLinAlg.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPLinAlg" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPLinReg.xml b/doc_classes/MLPPLinReg.xml new file mode 100644 index 0000000..2795975 --- /dev/null +++ b/doc_classes/MLPPLinReg.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPLinReg" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPLogReg.xml b/doc_classes/MLPPLogReg.xml new file mode 100644 index 0000000..182ea4d --- /dev/null +++ b/doc_classes/MLPPLogReg.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPLogReg" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPMANN.xml b/doc_classes/MLPPMANN.xml new file mode 100644 index 0000000..235981a --- /dev/null +++ b/doc_classes/MLPPMANN.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPMANN" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPMLP.xml b/doc_classes/MLPPMLP.xml new file mode 100644 index 0000000..da57f60 --- /dev/null +++ b/doc_classes/MLPPMLP.xml @@ -0,0 +1,85 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPMLP" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="gradient_descent"> + <return type="void" /> + <argument index="0" name="learning_rate" type="float" /> + <argument index="1" name="max_epoch" type="int" /> + <argument index="2" name="UI" type="bool" default="false" /> + <description> + </description> + </method> + <method name="initialize"> + <return type="void" /> + <description> + </description> + </method> + <method name="is_initialized"> + <return type="bool" /> + <description> + </description> + </method> + <method name="mbgd"> + <return type="void" /> + <argument index="0" name="learning_rate" type="float" /> + <argument index="1" name="max_epoch" type="int" /> + <argument index="2" name="mini_batch_size" type="int" /> + <argument index="3" name="UI" type="bool" default="false" /> + <description> + </description> + </method> + <method name="model_set_test"> + <return type="MLPPVector" /> + <argument index="0" name="X" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="model_test"> + <return type="float" /> + <argument index="0" name="x" type="MLPPVector" /> + <description> + </description> + </method> + <method name="save"> + <return type="void" /> + <argument index="0" name="file_name" type="String" /> + <description> + </description> + </method> + <method name="score"> + <return type="float" /> + <description> + </description> + </method> + <method name="sgd"> + <return type="void" /> + <argument index="0" name="learning_rate" type="float" /> + <argument index="1" name="max_epoch" type="int" /> + <argument index="2" name="UI" type="bool" default="false" /> + <description> + </description> + </method> + </methods> + <members> + <member name="alpha" type="float" setter="set_alpha" getter="get_alpha" default="0.5"> + </member> + <member name="input_set" type="MLPPMatrix" setter="set_input_set" getter="get_input_set"> + </member> + <member name="lambda" type="float" setter="set_lambda" getter="get_lambda" default="0.5"> + </member> + <member name="n_hidden" type="int" setter="set_n_hidden" getter="get_n_hidden" default="0"> + </member> + <member name="output_set" type="MLPPVector" setter="set_output_set" getter="get_output_set"> + </member> + <member name="reg" type="int" setter="set_reg" getter="get_reg" enum="MLPPReg.RegularizationType" default="0"> + </member> + </members> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPMatrix.xml b/doc_classes/MLPPMatrix.xml new file mode 100644 index 0000000..2d38ca5 --- /dev/null +++ b/doc_classes/MLPPMatrix.xml @@ -0,0 +1,175 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPMatrix" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="add_row"> + <return type="void" /> + <argument index="0" name="row" type="PoolRealArray" /> + <description> + </description> + </method> + <method name="add_row_mlpp_vector"> + <return type="void" /> + <argument index="0" name="row" type="MLPPVector" /> + <description> + </description> + </method> + <method name="add_rows_mlpp_matrix"> + <return type="void" /> + <argument index="0" name="other" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="clear"> + <return type="void" /> + <description> + </description> + </method> + <method name="data_size" qualifiers="const"> + <return type="int" /> + <description> + </description> + </method> + <method name="duplicate" qualifiers="const"> + <return type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="empty" qualifiers="const"> + <return type="bool" /> + <description> + </description> + </method> + <method name="fill"> + <return type="void" /> + <argument index="0" name="val" type="float" /> + <description> + </description> + </method> + <method name="get_element" qualifiers="const"> + <return type="float" /> + <argument index="0" name="index_x" type="int" /> + <argument index="1" name="index_y" type="int" /> + <description> + </description> + </method> + <method name="get_row_into_mlpp_vector" qualifiers="const"> + <return type="void" /> + <argument index="0" name="index_y" type="int" /> + <argument index="1" name="target" type="MLPPVector" /> + <description> + </description> + </method> + <method name="get_row_mlpp_vector"> + <return type="MLPPVector" /> + <argument index="0" name="index_y" type="int" /> + <description> + </description> + </method> + <method name="get_row_pool_vector"> + <return type="PoolRealArray" /> + <argument index="0" name="index_y" type="int" /> + <description> + </description> + </method> + <method name="is_equal_approx" qualifiers="const"> + <return type="bool" /> + <argument index="0" name="with" type="MLPPMatrix" /> + <argument index="1" name="tolerance" type="float" default="1e-05" /> + <description> + </description> + </method> + <method name="remove_row"> + <return type="void" /> + <argument index="0" name="index" type="float" /> + <description> + </description> + </method> + <method name="remove_row_unordered"> + <return type="void" /> + <argument index="0" name="index" type="int" /> + <description> + </description> + </method> + <method name="reset"> + <return type="void" /> + <description> + </description> + </method> + <method name="resize"> + <return type="void" /> + <argument index="0" name="size" type="Vector2i" /> + <description> + </description> + </method> + <method name="set_element"> + <return type="void" /> + <argument index="0" name="index_x" type="int" /> + <argument index="1" name="index_y" type="int" /> + <argument index="2" name="val" type="float" /> + <description> + </description> + </method> + <method name="set_from_arrays"> + <return type="void" /> + <argument index="0" name="from" type="Array" /> + <description> + </description> + </method> + <method name="set_from_mlpp_matrix"> + <return type="void" /> + <argument index="0" name="from" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="set_from_mlpp_vectors_array"> + <return type="void" /> + <argument index="0" name="from" type="Array" /> + <description> + </description> + </method> + <method name="set_row_mlpp_vector"> + <return type="void" /> + <argument index="0" name="index_y" type="int" /> + <argument index="1" name="row" type="MLPPVector" /> + <description> + </description> + </method> + <method name="set_row_pool_vector"> + <return type="void" /> + <argument index="0" name="index_y" type="int" /> + <argument index="1" name="row" type="PoolRealArray" /> + <description> + </description> + </method> + <method name="size" qualifiers="const"> + <return type="Vector2i" /> + <description> + </description> + </method> + <method name="swap_row"> + <return type="void" /> + <argument index="0" name="index_1" type="int" /> + <argument index="1" name="index_2" type="int" /> + <description> + </description> + </method> + <method name="to_flat_byte_array" qualifiers="const"> + <return type="PoolByteArray" /> + <description> + </description> + </method> + <method name="to_flat_pool_vector" qualifiers="const"> + <return type="PoolRealArray" /> + <description> + </description> + </method> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPMultiOutputLayer.xml b/doc_classes/MLPPMultiOutputLayer.xml new file mode 100644 index 0000000..d5d97a1 --- /dev/null +++ b/doc_classes/MLPPMultiOutputLayer.xml @@ -0,0 +1,58 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPMultiOutputLayer" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="forward_pass"> + <return type="void" /> + <description> + </description> + </method> + <method name="test"> + <return type="void" /> + <argument index="0" name="x" type="MLPPVector" /> + <description> + </description> + </method> + </methods> + <members> + <member name="a" type="MLPPMatrix" setter="set_a" getter="get_a"> + </member> + <member name="a_test" type="MLPPVector" setter="set_a_test" getter="get_a_test"> + </member> + <member name="activation" type="int" setter="set_activation" getter="get_activation" enum="MLPPActivation.ActivationFunction" default="0"> + </member> + <member name="alpha" type="float" setter="set_alpha" getter="get_alpha" default="0.0"> + </member> + <member name="bias" type="MLPPVector" setter="set_bias" getter="get_bias"> + </member> + <member name="cost" type="int" setter="set_cost" getter="get_cost" enum="MLPPCost.CostTypes" default="0"> + </member> + <member name="delta" type="MLPPMatrix" setter="set_delta" getter="get_delta"> + </member> + <member name="input" type="MLPPMatrix" setter="set_input" getter="get_input"> + </member> + <member name="lambda" type="float" setter="set_lambda" getter="get_lambda" default="0.0"> + </member> + <member name="n_hidden" type="int" setter="set_n_hidden" getter="get_n_hidden" default="0"> + </member> + <member name="n_output" type="int" setter="set_n_output" getter="get_n_output" default="0"> + </member> + <member name="reg" type="int" setter="set_reg" getter="get_reg" enum="MLPPReg.RegularizationType" default="0"> + </member> + <member name="set_weight_init" type="int" setter="set_weight_init" getter="get_weight_init" enum="MLPPUtilities.WeightDistributionType" default="0"> + </member> + <member name="weights" type="MLPPMatrix" setter="set_weights" getter="get_weights"> + </member> + <member name="z" type="MLPPMatrix" setter="set_z" getter="get_z"> + </member> + <member name="z_test" type="MLPPVector" setter="set_z_test" getter="get_z_test"> + </member> + </members> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPMultinomialNB.xml b/doc_classes/MLPPMultinomialNB.xml new file mode 100644 index 0000000..48eb6cb --- /dev/null +++ b/doc_classes/MLPPMultinomialNB.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPMultinomialNB" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPNumericalAnalysis.xml b/doc_classes/MLPPNumericalAnalysis.xml new file mode 100644 index 0000000..f59c935 --- /dev/null +++ b/doc_classes/MLPPNumericalAnalysis.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPNumericalAnalysis" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPOutlierFinder.xml b/doc_classes/MLPPOutlierFinder.xml new file mode 100644 index 0000000..e1a0d6d --- /dev/null +++ b/doc_classes/MLPPOutlierFinder.xml @@ -0,0 +1,35 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPOutlierFinder" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="model_set_test"> + <return type="Array" /> + <argument index="0" name="input_set" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="model_set_test_indices"> + <return type="PoolVector2iArray" /> + <argument index="0" name="input_set" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="model_test"> + <return type="PoolRealArray" /> + <argument index="0" name="input_set" type="MLPPVector" /> + <description> + </description> + </method> + </methods> + <members> + <member name="threshold" type="float" setter="set_threshold" getter="get_threshold" default="0.0"> + </member> + </members> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPOutputLayer.xml b/doc_classes/MLPPOutputLayer.xml new file mode 100644 index 0000000..fdd86c9 --- /dev/null +++ b/doc_classes/MLPPOutputLayer.xml @@ -0,0 +1,66 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPOutputLayer" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="forward_pass"> + <return type="void" /> + <description> + </description> + </method> + <method name="initialize"> + <return type="void" /> + <description> + </description> + </method> + <method name="is_initialized"> + <return type="bool" /> + <description> + </description> + </method> + <method name="test"> + <return type="void" /> + <argument index="0" name="x" type="MLPPVector" /> + <description> + </description> + </method> + </methods> + <members> + <member name="a" type="MLPPVector" setter="set_a" getter="get_a"> + </member> + <member name="a_test" type="MLPPVector" setter="set_a_test" getter="get_a_test"> + </member> + <member name="activation" type="int" setter="set_activation" getter="get_activation" enum="MLPPActivation.ActivationFunction" default="0"> + </member> + <member name="alpha" type="float" setter="set_alpha" getter="get_alpha" default="0.0"> + </member> + <member name="bias" type="float" setter="set_bias" getter="get_bias" default="0.0"> + </member> + <member name="cost" type="int" setter="set_cost" getter="get_cost" enum="MLPPCost.CostTypes" default="0"> + </member> + <member name="delta" type="MLPPVector" setter="set_delta" getter="get_delta"> + </member> + <member name="input" type="MLPPMatrix" setter="set_input" getter="get_input"> + </member> + <member name="lambda" type="float" setter="set_lambda" getter="get_lambda" default="0.0"> + </member> + <member name="n_hidden" type="int" setter="set_n_hidden" getter="get_n_hidden" default="0"> + </member> + <member name="reg" type="int" setter="set_reg" getter="get_reg" enum="MLPPReg.RegularizationType" default="0"> + </member> + <member name="set_weight_init" type="int" setter="set_weight_init" getter="get_weight_init" enum="MLPPUtilities.WeightDistributionType" default="0"> + </member> + <member name="weights" type="MLPPVector" setter="set_weights" getter="get_weights"> + </member> + <member name="z" type="MLPPVector" setter="set_z" getter="get_z"> + </member> + <member name="z_test" type="MLPPVector" setter="set_z_test" getter="get_z_test"> + </member> + </members> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPPCA.xml b/doc_classes/MLPPPCA.xml new file mode 100644 index 0000000..28f498f --- /dev/null +++ b/doc_classes/MLPPPCA.xml @@ -0,0 +1,29 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPPCA" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="principal_components"> + <return type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="score"> + <return type="float" /> + <description> + </description> + </method> + </methods> + <members> + <member name="get_input_set" type="MLPPMatrix" setter="set_input_set" getter="get_input_set"> + </member> + <member name="k" type="int" setter="set_k" getter="get_k" default="0"> + </member> + </members> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPProbitReg.xml b/doc_classes/MLPPProbitReg.xml new file mode 100644 index 0000000..a61df50 --- /dev/null +++ b/doc_classes/MLPPProbitReg.xml @@ -0,0 +1,91 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPProbitReg" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="gradient_descent"> + <return type="void" /> + <argument index="0" name="learning_rate" type="float" /> + <argument index="1" name="max_epoch" type="int" default="0" /> + <argument index="2" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="initialize"> + <return type="void" /> + <description> + </description> + </method> + <method name="is_initialized"> + <return type="bool" /> + <description> + </description> + </method> + <method name="mbgd"> + <return type="void" /> + <argument index="0" name="learning_rate" type="float" /> + <argument index="1" name="max_epoch" type="int" /> + <argument index="2" name="mini_batch_size" type="int" /> + <argument index="3" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="mle"> + <return type="void" /> + <argument index="0" name="learning_rate" type="float" /> + <argument index="1" name="max_epoch" type="int" default="0" /> + <argument index="2" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="model_set_test"> + <return type="MLPPVector" /> + <argument index="0" name="X" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="model_test"> + <return type="float" /> + <argument index="0" name="x" type="MLPPVector" /> + <description> + </description> + </method> + <method name="save"> + <return type="void" /> + <argument index="0" name="file_name" type="String" /> + <description> + </description> + </method> + <method name="score"> + <return type="float" /> + <description> + </description> + </method> + <method name="sgd"> + <return type="void" /> + <argument index="0" name="learning_rate" type="float" /> + <argument index="1" name="max_epoch" type="int" default="0" /> + <argument index="2" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + </methods> + <members> + <member name="alpha" type="float" setter="set_alpha" getter="get_alpha" default="0.5"> + </member> + <member name="input_set" type="MLPPMatrix" setter="set_input_set" getter="get_input_set"> + </member> + <member name="lambda" type="float" setter="set_lambda" getter="get_lambda" default="0.5"> + </member> + <member name="output_set" type="MLPPVector" setter="set_output_set" getter="get_output_set"> + </member> + <member name="reg" type="int" setter="set_reg" getter="get_reg" enum="MLPPReg.RegularizationType" default="0"> + </member> + </members> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPReg.xml b/doc_classes/MLPPReg.xml new file mode 100644 index 0000000..daf7fd1 --- /dev/null +++ b/doc_classes/MLPPReg.xml @@ -0,0 +1,77 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPReg" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="reg_deriv_termm"> + <return type="MLPPMatrix" /> + <argument index="0" name="weights" type="MLPPMatrix" /> + <argument index="1" name="lambda" type="float" /> + <argument index="2" name="alpha" type="float" /> + <argument index="3" name="reg" type="int" enum="MLPPReg.RegularizationType" /> + <description> + </description> + </method> + <method name="reg_deriv_termv"> + <return type="MLPPVector" /> + <argument index="0" name="weights" type="MLPPVector" /> + <argument index="1" name="lambda" type="float" /> + <argument index="2" name="alpha" type="float" /> + <argument index="3" name="reg" type="int" enum="MLPPReg.RegularizationType" /> + <description> + </description> + </method> + <method name="reg_termm"> + <return type="float" /> + <argument index="0" name="weights" type="MLPPMatrix" /> + <argument index="1" name="lambda" type="float" /> + <argument index="2" name="alpha" type="float" /> + <argument index="3" name="reg" type="int" enum="MLPPReg.RegularizationType" /> + <description> + </description> + </method> + <method name="reg_termv"> + <return type="float" /> + <argument index="0" name="weights" type="MLPPVector" /> + <argument index="1" name="lambda" type="float" /> + <argument index="2" name="alpha" type="float" /> + <argument index="3" name="reg" type="int" enum="MLPPReg.RegularizationType" /> + <description> + </description> + </method> + <method name="reg_weightsm"> + <return type="MLPPMatrix" /> + <argument index="0" name="weights" type="MLPPMatrix" /> + <argument index="1" name="lambda" type="float" /> + <argument index="2" name="alpha" type="float" /> + <argument index="3" name="reg" type="int" enum="MLPPReg.RegularizationType" /> + <description> + </description> + </method> + <method name="reg_weightsv"> + <return type="MLPPVector" /> + <argument index="0" name="weights" type="MLPPVector" /> + <argument index="1" name="lambda" type="float" /> + <argument index="2" name="alpha" type="float" /> + <argument index="3" name="reg" type="int" enum="MLPPReg.RegularizationType" /> + <description> + </description> + </method> + </methods> + <constants> + <constant name="REGULARIZATION_TYPE_NONE" value="0" enum="RegularizationType"> + </constant> + <constant name="REGULARIZATION_TYPE_RIDGE" value="1" enum="RegularizationType"> + </constant> + <constant name="REGULARIZATION_TYPE_LASSO" value="2" enum="RegularizationType"> + </constant> + <constant name="REGULARIZATION_TYPE_ELASTIC_NET" value="3" enum="RegularizationType"> + </constant> + <constant name="REGULARIZATION_TYPE_WEIGHT_CLIPPING" value="4" enum="RegularizationType"> + </constant> + </constants> +</class> diff --git a/doc_classes/MLPPSVC.xml b/doc_classes/MLPPSVC.xml new file mode 100644 index 0000000..2fe4e44 --- /dev/null +++ b/doc_classes/MLPPSVC.xml @@ -0,0 +1,79 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPSVC" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="gradient_descent"> + <return type="void" /> + <argument index="0" name="learning_rate" type="float" /> + <argument index="1" name="max_epoch" type="int" /> + <argument index="2" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="initialize"> + <return type="void" /> + <description> + </description> + </method> + <method name="is_initialized"> + <return type="bool" /> + <description> + </description> + </method> + <method name="mbgd"> + <return type="void" /> + <argument index="0" name="learning_rate" type="float" /> + <argument index="1" name="max_epoch" type="int" /> + <argument index="2" name="mini_batch_size" type="int" /> + <argument index="3" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="model_set_test"> + <return type="MLPPVector" /> + <argument index="0" name="X" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="model_test"> + <return type="float" /> + <argument index="0" name="x" type="MLPPVector" /> + <description> + </description> + </method> + <method name="save"> + <return type="void" /> + <argument index="0" name="file_name" type="String" /> + <description> + </description> + </method> + <method name="score"> + <return type="float" /> + <description> + </description> + </method> + <method name="sgd"> + <return type="void" /> + <argument index="0" name="learning_rate" type="float" /> + <argument index="1" name="max_epoch" type="int" /> + <argument index="2" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + </methods> + <members> + <member name="c" type="float" setter="set_c" getter="get_c" default="0.0"> + </member> + <member name="input_set" type="MLPPMatrix" setter="set_input_set" getter="get_input_set"> + </member> + <member name="output_set" type="MLPPVector" setter="set_output_set" getter="get_output_set"> + </member> + </members> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPSoftmaxNet.xml b/doc_classes/MLPPSoftmaxNet.xml new file mode 100644 index 0000000..2d98ef9 --- /dev/null +++ b/doc_classes/MLPPSoftmaxNet.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPSoftmaxNet" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPSoftmaxReg.xml b/doc_classes/MLPPSoftmaxReg.xml new file mode 100644 index 0000000..ba366c9 --- /dev/null +++ b/doc_classes/MLPPSoftmaxReg.xml @@ -0,0 +1,83 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPSoftmaxReg" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="gradient_descent"> + <return type="void" /> + <argument index="0" name="learning_rate" type="float" /> + <argument index="1" name="max_epoch" type="int" /> + <argument index="2" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="initialize"> + <return type="void" /> + <description> + </description> + </method> + <method name="is_initialized"> + <return type="bool" /> + <description> + </description> + </method> + <method name="mbgd"> + <return type="void" /> + <argument index="0" name="learning_rate" type="float" /> + <argument index="1" name="max_epoch" type="int" /> + <argument index="2" name="mini_batch_size" type="int" /> + <argument index="3" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="model_set_test"> + <return type="MLPPMatrix" /> + <argument index="0" name="X" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="model_test"> + <return type="MLPPVector" /> + <argument index="0" name="x" type="MLPPVector" /> + <description> + </description> + </method> + <method name="save"> + <return type="void" /> + <argument index="0" name="file_name" type="String" /> + <description> + </description> + </method> + <method name="score"> + <return type="float" /> + <description> + </description> + </method> + <method name="sgd"> + <return type="void" /> + <argument index="0" name="learning_rate" type="float" /> + <argument index="1" name="max_epoch" type="int" /> + <argument index="2" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + </methods> + <members> + <member name="alpha" type="float" setter="set_alpha" getter="get_alpha" default="0.5"> + </member> + <member name="input_set" type="MLPPMatrix" setter="set_input_set" getter="get_input_set"> + </member> + <member name="lambda" type="float" setter="set_lambda" getter="get_lambda" default="0.5"> + </member> + <member name="output_set" type="MLPPMatrix" setter="set_output_set" getter="get_output_set"> + </member> + <member name="reg" type="int" setter="set_reg" getter="get_reg" enum="MLPPReg.RegularizationType" default="0"> + </member> + </members> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPStat.xml b/doc_classes/MLPPStat.xml new file mode 100644 index 0000000..bb23194 --- /dev/null +++ b/doc_classes/MLPPStat.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPStat" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPTanhReg.xml b/doc_classes/MLPPTanhReg.xml new file mode 100644 index 0000000..ed63b7b --- /dev/null +++ b/doc_classes/MLPPTanhReg.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPTanhReg" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPTests.xml b/doc_classes/MLPPTests.xml new file mode 100644 index 0000000..0e0e985 --- /dev/null +++ b/doc_classes/MLPPTests.xml @@ -0,0 +1,242 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPTests" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="test_ann"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_autoencoder"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_c_log_log_regression"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_convolution_tensors_etc"> + <return type="void" /> + <description> + </description> + </method> + <method name="test_dynamically_sized_ann"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_dynamically_sized_mann"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_exp_reg_regression"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_k_means"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_knn"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_linear_algebra"> + <return type="void" /> + <description> + </description> + </method> + <method name="test_logistic_regression"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_mlp"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_mlpp_matrix"> + <return type="void" /> + <description> + </description> + </method> + <method name="test_mlpp_vector"> + <return type="void" /> + <description> + </description> + </method> + <method name="test_multivariate_linear_regression_adam"> + <return type="void" /> + <description> + </description> + </method> + <method name="test_multivariate_linear_regression_epochs_gradient_descent"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_multivariate_linear_regression_gradient_descent"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_multivariate_linear_regression_mbgd"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_multivariate_linear_regression_newton_raphson"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_multivariate_linear_regression_normal_equation"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_multivariate_linear_regression_score_sgd_adam"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_multivariate_linear_regression_sgd"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_naive_bayes"> + <return type="void" /> + <description> + </description> + </method> + <method name="test_new_math_functions"> + <return type="void" /> + <description> + </description> + </method> + <method name="test_nlp_and_data"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_numerical_analysis"> + <return type="void" /> + <description> + </description> + </method> + <method name="test_outlier_finder"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_pca_svd_eigenvalues_eigenvectors"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_positive_definiteness_checker"> + <return type="void" /> + <description> + </description> + </method> + <method name="test_probit_regression"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_soft_max_network"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_softmax_regression"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_statistics"> + <return type="void" /> + <description> + </description> + </method> + <method name="test_support_vector_classification"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_support_vector_classification_kernel"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_tanh_regression"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_train_test_split_mann"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_univariate_linear_regression"> + <return type="void" /> + <description> + </description> + </method> + <method name="test_wgan"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="test_wgan_old"> + <return type="void" /> + <argument index="0" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPTransforms.xml b/doc_classes/MLPPTransforms.xml new file mode 100644 index 0000000..0586d79 --- /dev/null +++ b/doc_classes/MLPPTransforms.xml @@ -0,0 +1,13 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPTransforms" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPUniLinReg.xml b/doc_classes/MLPPUniLinReg.xml new file mode 100644 index 0000000..c77964e --- /dev/null +++ b/doc_classes/MLPPUniLinReg.xml @@ -0,0 +1,46 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPUniLinReg" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="get_b0"> + <return type="float" /> + <description> + </description> + </method> + <method name="get_b1"> + <return type="float" /> + <description> + </description> + </method> + <method name="initialize"> + <return type="void" /> + <description> + </description> + </method> + <method name="model_set_test"> + <return type="MLPPVector" /> + <argument index="0" name="x" type="MLPPVector" /> + <description> + </description> + </method> + <method name="model_test"> + <return type="float" /> + <argument index="0" name="x" type="float" /> + <description> + </description> + </method> + </methods> + <members> + <member name="input_set" type="MLPPVector" setter="set_input_set" getter="get_input_set"> + </member> + <member name="output_set" type="MLPPVector" setter="set_output_set" getter="get_output_set"> + </member> + </members> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPUtilities.xml b/doc_classes/MLPPUtilities.xml new file mode 100644 index 0000000..cca78b5 --- /dev/null +++ b/doc_classes/MLPPUtilities.xml @@ -0,0 +1,98 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPUtilities" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="bias_initializationr"> + <return type="float" /> + <description> + </description> + </method> + <method name="bias_initializationv"> + <return type="void" /> + <argument index="0" name="z" type="MLPPVector" /> + <description> + </description> + </method> + <method name="create_mini_batchesm"> + <return type="Array" /> + <argument index="0" name="input_set" type="MLPPMatrix" /> + <argument index="1" name="n_mini_batch" type="int" /> + <description> + </description> + </method> + <method name="create_mini_batchesmm"> + <return type="Array" /> + <argument index="0" name="input_set" type="MLPPMatrix" /> + <argument index="1" name="output_set" type="MLPPMatrix" /> + <argument index="2" name="n_mini_batch" type="int" /> + <description> + </description> + </method> + <method name="create_mini_batchesmv"> + <return type="Array" /> + <argument index="0" name="input_set" type="MLPPMatrix" /> + <argument index="1" name="output_set" type="MLPPVector" /> + <argument index="2" name="n_mini_batch" type="int" /> + <description> + </description> + </method> + <method name="performance_mat"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPMatrix" /> + <argument index="1" name="y" type="MLPPMatrix" /> + <description> + </description> + </method> + <method name="performance_pool_int_array_vec"> + <return type="float" /> + <argument index="0" name="y_hat" type="PoolIntArray" /> + <argument index="1" name="output_set" type="MLPPVector" /> + <description> + </description> + </method> + <method name="performance_vec"> + <return type="float" /> + <argument index="0" name="y_hat" type="MLPPVector" /> + <argument index="1" name="output_set" type="MLPPVector" /> + <description> + </description> + </method> + <method name="weight_initializationm"> + <return type="void" /> + <argument index="0" name="weights" type="MLPPMatrix" /> + <argument index="1" name="type" type="int" enum="MLPPUtilities.WeightDistributionType" default="0" /> + <description> + </description> + </method> + <method name="weight_initializationv"> + <return type="void" /> + <argument index="0" name="weights" type="MLPPVector" /> + <argument index="1" name="type" type="int" enum="MLPPUtilities.WeightDistributionType" default="0" /> + <description> + </description> + </method> + </methods> + <constants> + <constant name="WEIGHT_DISTRIBUTION_TYPE_DEFAULT" value="0" enum="WeightDistributionType"> + </constant> + <constant name="WEIGHT_DISTRIBUTION_TYPE_XAVIER_NORMAL" value="1" enum="WeightDistributionType"> + </constant> + <constant name="WEIGHT_DISTRIBUTION_TYPE_XAVIER_UNIFORM" value="2" enum="WeightDistributionType"> + </constant> + <constant name="WEIGHT_DISTRIBUTION_TYPE_HE_NORMAL" value="3" enum="WeightDistributionType"> + </constant> + <constant name="WEIGHT_DISTRIBUTION_TYPE_HE_UNIFORM" value="4" enum="WeightDistributionType"> + </constant> + <constant name="WEIGHT_DISTRIBUTION_TYPE_LE_CUN_NORMAL" value="5" enum="WeightDistributionType"> + </constant> + <constant name="WEIGHT_DISTRIBUTION_TYPE_LE_CUN_UNIFORM" value="6" enum="WeightDistributionType"> + </constant> + <constant name="WEIGHT_DISTRIBUTION_TYPE_UNIFORM" value="7" enum="WeightDistributionType"> + </constant> + </constants> +</class> diff --git a/doc_classes/MLPPVector.xml b/doc_classes/MLPPVector.xml new file mode 100644 index 0000000..7a0b485 --- /dev/null +++ b/doc_classes/MLPPVector.xml @@ -0,0 +1,158 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPVector" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="add_mlpp_vector"> + <return type="void" /> + <argument index="0" name="other" type="float" /> + <description> + </description> + </method> + <method name="clear"> + <return type="void" /> + <description> + </description> + </method> + <method name="duplicate" qualifiers="const"> + <return type="MLPPVector" /> + <description> + </description> + </method> + <method name="empty" qualifiers="const"> + <return type="bool" /> + <description> + </description> + </method> + <method name="erase"> + <return type="void" /> + <argument index="0" name="val" type="float" /> + <description> + </description> + </method> + <method name="erase_multiple_unordered"> + <return type="int" /> + <argument index="0" name="val" type="float" /> + <description> + </description> + </method> + <method name="fill"> + <return type="void" /> + <argument index="0" name="val" type="float" /> + <description> + </description> + </method> + <method name="find" qualifiers="const"> + <return type="int" /> + <argument index="0" name="val" type="float" /> + <argument index="1" name="from" type="int" default="0" /> + <description> + </description> + </method> + <method name="get_element" qualifiers="const"> + <return type="float" /> + <argument index="0" name="index" type="int" /> + <description> + </description> + </method> + <method name="insert"> + <return type="void" /> + <argument index="0" name="pos" type="int" /> + <argument index="1" name="val" type="float" /> + <description> + </description> + </method> + <method name="invert"> + <return type="void" /> + <description> + </description> + </method> + <method name="is_equal_approx" qualifiers="const"> + <return type="bool" /> + <argument index="0" name="with" type="MLPPVector" /> + <argument index="1" name="tolerance" type="float" default="1e-05" /> + <description> + </description> + </method> + <method name="ordered_insert"> + <return type="void" /> + <argument index="0" name="val" type="float" /> + <description> + </description> + </method> + <method name="push_back"> + <return type="void" /> + <argument index="0" name="elem" type="float" /> + <description> + </description> + </method> + <method name="remove"> + <return type="void" /> + <argument index="0" name="index" type="float" /> + <description> + </description> + </method> + <method name="remove_unordered"> + <return type="void" /> + <argument index="0" name="index" type="int" /> + <description> + </description> + </method> + <method name="reset"> + <return type="void" /> + <description> + </description> + </method> + <method name="resize"> + <return type="void" /> + <argument index="0" name="size" type="int" /> + <description> + </description> + </method> + <method name="set_element"> + <return type="void" /> + <argument index="0" name="index" type="int" /> + <argument index="1" name="val" type="float" /> + <description> + </description> + </method> + <method name="set_from_mlpp_vector"> + <return type="void" /> + <argument index="0" name="from" type="MLPPVector" /> + <description> + </description> + </method> + <method name="set_from_pool_vector"> + <return type="void" /> + <argument index="0" name="from" type="PoolRealArray" /> + <description> + </description> + </method> + <method name="size" qualifiers="const"> + <return type="int" /> + <description> + </description> + </method> + <method name="sort"> + <return type="void" /> + <description> + </description> + </method> + <method name="to_byte_array" qualifiers="const"> + <return type="PoolByteArray" /> + <description> + </description> + </method> + <method name="to_pool_vector" qualifiers="const"> + <return type="PoolRealArray" /> + <description> + </description> + </method> + </methods> + <constants> + </constants> +</class> diff --git a/doc_classes/MLPPWGAN.xml b/doc_classes/MLPPWGAN.xml new file mode 100644 index 0000000..35e3c84 --- /dev/null +++ b/doc_classes/MLPPWGAN.xml @@ -0,0 +1,64 @@ +<?xml version="1.0" encoding="UTF-8" ?> +<class name="MLPPWGAN" inherits="Reference" version="3.11"> + <brief_description> + </brief_description> + <description> + </description> + <tutorials> + </tutorials> + <methods> + <method name="add_layer"> + <return type="void" /> + <argument index="0" name="activation" type="int" /> + <argument index="1" name="weight_init" type="int" enum="MLPPActivation.ActivationFunction" /> + <argument index="2" name="reg" type="int" enum="MLPPUtilities.WeightDistributionType" default="0" /> + <argument index="3" name="lambda" type="int" enum="MLPPReg.RegularizationType" default="0" /> + <argument index="4" name="alpha" type="float" default="0.5" /> + <argument index="5" name="arg5" type="float" default="0.5" /> + <description> + </description> + </method> + <method name="add_output_layer"> + <return type="void" /> + <argument index="0" name="weight_init" type="int" enum="MLPPUtilities.WeightDistributionType" default="0" /> + <argument index="1" name="reg" type="int" enum="MLPPReg.RegularizationType" default="0" /> + <argument index="2" name="lambda" type="float" default="0.5" /> + <argument index="3" name="alpha" type="float" default="0.5" /> + <description> + </description> + </method> + <method name="generate_example"> + <return type="MLPPMatrix" /> + <argument index="0" name="n" type="int" /> + <description> + </description> + </method> + <method name="gradient_descent"> + <return type="void" /> + <argument index="0" name="learning_rate" type="float" /> + <argument index="1" name="max_epoch" type="int" /> + <argument index="2" name="ui" type="bool" default="false" /> + <description> + </description> + </method> + <method name="save"> + <return type="void" /> + <argument index="0" name="file_name" type="String" /> + <description> + </description> + </method> + <method name="score"> + <return type="float" /> + <description> + </description> + </method> + </methods> + <members> + <member name="k" type="int" setter="set_k" getter="get_k" default="0"> + </member> + <member name="output_set" type="MLPPMatrix" setter="set_output_set" getter="get_output_set"> + </member> + </members> + <constants> + </constants> +</class>