Algorithms¶

This is the module for basic ELM algorithms.

Neural Extreme Learning Machine¶

This is the implementation as a single hidden layer feedforward network (SLFN).

class algorithm.NELM¶

Bases: home.cperales.pruebas.Ridge-ELM-framework.generic.NMethod

Neural Extreme Learning Machine with a hidden layer

fit(trainData, trainTarg, parameters)¶

TrainData:	Data matrix n x m, with n instances and m features.
TrainTarg:	Target J-encoded matrix n x j.
Parameters:	Structure with the cross validated hyperparameters.

This is the implementation using kernel trick, which is also known as Kernel Ridge Classification.

class algorithm.KELM¶

Bases: home.cperales.pruebas.Ridge-ELM-framework.generic.KMethod

Kernel Extreme Learning Machine

fit(trainData, trainTarg, parameters)¶

TrainData:	Data matrix n x m, with n instances and m features.
TrainTarg:	Target J-encoded matrix n x j.
Parameters:	Structure with the cross validated hyperparameters.

get_indicator(testPatterns)¶

TestPattern:	Data matrix n x m, with n instances to predict and m features.