Predictor Class Reference

#include <Predictor.h>

Inheritance diagram for Predictor:

Public Member Functions
virtual void	fit (const Matrix< double > &X, const Matrix< double > &y)=0
virtual Matrix< double >	predict (const Matrix< double > &)=0
virtual Matrix< double >	transform (const Matrix< double > &)=0

Member Function Documentation

fit()

virtual void Predictor::fit ( const Matrix< double > &  X, const Matrix< double > &  y  )

pure virtual

Implements training algorithm

Parameters

X	array-like with the shape: [n_samples, n_features]
y	array-like with shape: [n_samples, 1]

Returns

this

Implemented in AdalineGD, AdalineSGD, DecisionTree, PCA, KNN, LogRegSGD, NCC, Perceptron, OneHotEncoder, StandardScaler, and MinMaxScaler.

predict()

virtual Matrix< double > Predictor::predict ( const Matrix< double > &  )

pure virtual

Makes prediction for given input

Returns

Implemented in Transformer, AdalineGD, AdalineSGD, DecisionTree, KNN, LogRegSGD, NCC, and Perceptron.

transform()

virtual Matrix< double > Predictor::transform ( const Matrix< double > &  )

pure virtual

Implemented in Classifier, DecisionTree, PCA, OneHotEncoder, StandardScaler, and MinMaxScaler.

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The documentation for this class was generated from the following file:

• include/math/ds/Predictor.h