Package ai.djl.basicdataset.tabular

Class CsvDataset.Feature

java.lang.Object

ai.djl.basicdataset.tabular.CsvDataset.Feature

Enclosing class:

CsvDataset

public static final class CsvDataset.Feature
extends java.lang.Object

A class contains feature name and its Featurizer.

Constructor Summary

Constructors

Constructor	Description
Feature(java.lang.String name, boolean numeric)	Constructs a Feature instance.
Feature(java.lang.String name, CsvDataset.Featurizer featurizer)	Constructs a Feature instance.
Feature(java.lang.String name, java.util.Map<java.lang.String,java.lang.Integer> map, boolean onehotEncode)	Constructs a Feature instance.

Method Summary

Modifier and Type	Method	Description
CsvDataset.Featurizer	getFeaturizer()	Returns the Featurizer.
java.lang.String	getName()	Returns the feature name.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Feature

public Feature(java.lang.String name,
               CsvDataset.Featurizer featurizer)

Constructs a Feature instance.

Parameters:

name - the feature name

featurizer - the Featurizer

Feature

public Feature(java.lang.String name,
               boolean numeric)

Constructs a Feature instance.

Parameters:

name - the feature name

numeric - true if input is numeric data

Feature

public Feature(java.lang.String name,
               java.util.Map<java.lang.String,java.lang.Integer> map,
               boolean onehotEncode)

Constructs a Feature instance.

Parameters:

name - the feature name

map - a map contains categorical value maps to index

onehotEncode - true if use onehot encode

Method Detail

getName

public java.lang.String getName()

Returns the feature name.

Returns:

the feature name

getFeaturizer

public CsvDataset.Featurizer getFeaturizer()

Returns the Featurizer.

Returns:

the Featurizer