Package smile.classification

Interface Classifier.Trainer<T,M extends Classifier<T>>

Type Parameters:

T - the type of model input object.

M - the type of model.

Enclosing interface:

Classifier<T>

public static interface Classifier.Trainer<T,M extends Classifier<T>>

The classifier trainer.

Method Summary

Modifier and Type	Method	Description
default M	fit(T[] x, int[] y)	Fits a classification model with the default hyper-parameters.
M	fit(T[] x, int[] y, Properties params)	Fits a classification model.

Method Details

fit

default M fit(T[] x,
 int[] y)

Fits a classification model with the default hyper-parameters.

Parameters:

x - the training samples.

y - the training labels.

Returns:

the model

fit

M fit(T[] x,
 int[] y,
 Properties params)

Fits a classification model.

Parameters:

x - the training samples.

y - the training labels.

params - the hyper-parameters.

Returns:

the model