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Merge branch 'main' of https://github.com/novak-99/MLPP into main
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@ -8,7 +8,7 @@ Machine learning is a vast and exiciting discipline, garnering attention from sp
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</p>
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</p>
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## Installation
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## Installation
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Begin by downloading the header files for the ML++ library. You can do this by cloning the repository into a local directory and extracting the MLPP directory within it, as well as the "MLPP.so" file.
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Begin by downloading the header files for the ML++ library. You can do this by cloning the repository and extracting the MLPP directory within it, as well as the "MLPP.so" file.
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```
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```
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git clone https://github.com/novak-99/MLPP
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git clone https://github.com/novak-99/MLPP
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```
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```
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@ -20,7 +20,7 @@ int main(){
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...
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...
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}
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}
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```
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```
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Finally, after you have concluded writing your file, compile it using g++. Be sure to have the MLPP.so file in a local directory.
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Finally, after you have concluded creating a project, compile it using g++. Be sure to store the MLPP.so file in a local directory.
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```
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```
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g++ main.cpp MLPP.so --std=c++17
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g++ main.cpp MLPP.so --std=c++17
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```
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```
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@ -46,7 +46,7 @@ model.modelTest(testSetInstance);
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```
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```
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This will return the model's singular prediction for that example.
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This will return the model's singular prediction for that example.
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To test an entire dataset of instances, use the following function:
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To test an entire test set, use the following function:
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```cpp
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```cpp
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model.modelSetTest(testSet);
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model.modelSetTest(testSet);
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```
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```
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