Package smile.classification

Interface DataFrameClassifier.Trainer<M extends DataFrameClassifier>

Type Parameters:

M - the type of model.

Enclosing interface:

DataFrameClassifier

public static interface DataFrameClassifier.Trainer<M extends DataFrameClassifier>

The classifier trainer.

Method Summary

Modifier and Type	Method	Description
default M	fit(smile.data.formula.Formula formula, smile.data.DataFrame data)	Fits a classification model with the default hyper-parameters.
M	fit(smile.data.formula.Formula formula, smile.data.DataFrame data, Properties params)	Fits a classification model.

Method Details

fit

default M fit(smile.data.formula.Formula formula,
 smile.data.DataFrame data)

Fits a classification model with the default hyper-parameters.

Parameters:

formula - a symbolic description of the model to be fitted.

data - the data frame of the explanatory and response variables.

Returns:

the model

fit

M fit(smile.data.formula.Formula formula,
 smile.data.DataFrame data,
 Properties params)

Fits a classification model.

Parameters:

formula - a symbolic description of the model to be fitted.

data - the data frame of the explanatory and response variables.

params - the hyper-parameters.

Returns:

the model