JSDoc: Class: DecisionTreeClassifier

Class: DecisionTreeClassifier

Constructor

new DecisionTreeClassifier(uidopt)

Parameters:

Name	Type	Attributes	Description
`uid`	string	<optional>

Source:

ml/classification/DecisionTreeClassifier.js, line 36

Extends

module:eclairjs/ml.PipelineStage

Methods

copy(extra) → {module:eclairjs/ml/classification.DecisionTreeClassifier}

Parameters:

Name	Type	Description
`extra`	module:eclairjs/ml/param.ParamMap

Overrides:

module:eclairjs/ml.PipelineStage#copy

Source:

ml/classification/DecisionTreeClassifier.js, line 243

Returns:

Type: module:eclairjs/ml/classification.DecisionTreeClassifier

setCacheNodeIds(value) → {module:eclairjs/ml/classification.DecisionTreeClassifier}

Parameters:

Name	Type	Description
`value`	boolean

Source:

ml/classification/DecisionTreeClassifier.js, line 153

Returns:

Type: module:eclairjs/ml/classification.DecisionTreeClassifier

setCheckpointInterval(value) → {module:eclairjs/ml/classification.DecisionTreeClassifier}

Parameters:

Name	Type	Description
`value`	number

Source:

ml/classification/DecisionTreeClassifier.js, line 168

Returns:

Type: module:eclairjs/ml/classification.DecisionTreeClassifier

setFeaturesCol(value) → {module:eclairjs/ml/classification.DecisionTreeClassifier}

Parameters:

Name	Type	Description
`value`	string

Source:

ml/classification/DecisionTreeClassifier.js, line 228

Returns:

value

Type: module:eclairjs/ml/classification.DecisionTreeClassifier

setImpurity(value) → {module:eclairjs/ml/classification.DecisionTreeClassifier}

Parameters:

Name	Type	Description
`value`	string

Source:

ml/classification/DecisionTreeClassifier.js, line 183

Returns:

Type: module:eclairjs/ml/classification.DecisionTreeClassifier

setLabelCol(value) → {module:eclairjs/ml/classification.DecisionTreeClassifier}

Parameters:

Name	Type	Description
`value`	string

Source:

ml/classification/DecisionTreeClassifier.js, line 213

Returns:

value

Type: module:eclairjs/ml/classification.DecisionTreeClassifier

setMaxBins(value) → {module:eclairjs/ml/classification.DecisionTreeClassifier}

Parameters:

Name	Type	Description
`value`	number

Source:

ml/classification/DecisionTreeClassifier.js, line 93

Returns:

Type: module:eclairjs/ml/classification.DecisionTreeClassifier

setMaxDepth(value) → {module:eclairjs/ml/classification.DecisionTreeClassifier}

Parameters:

Name	Type	Description
`value`	number

Source:

ml/classification/DecisionTreeClassifier.js, line 78

Returns:

Type: module:eclairjs/ml/classification.DecisionTreeClassifier

setMaxMemoryInMB(value) → {module:eclairjs/ml/classification.DecisionTreeClassifier}

Parameters:

Name	Type	Description
`value`	number

Source:

ml/classification/DecisionTreeClassifier.js, line 138

Returns:

Type: module:eclairjs/ml/classification.DecisionTreeClassifier

setMinInfoGain(value) → {module:eclairjs/ml/classification.DecisionTreeClassifier}

Parameters:

Name	Type	Description
`value`	number

Source:

ml/classification/DecisionTreeClassifier.js, line 123

Returns:

Type: module:eclairjs/ml/classification.DecisionTreeClassifier

setMinInstancesPerNode(value) → {module:eclairjs/ml/classification.DecisionTreeClassifier}

Parameters:

Name	Type	Description
`value`	number

Source:

ml/classification/DecisionTreeClassifier.js, line 108

Returns:

Type: module:eclairjs/ml/classification.DecisionTreeClassifier

setSeed(value) → {module:eclairjs/ml/classification.DecisionTreeClassifier}

Parameters:

Name	Type	Description
`value`	number

Source:

ml/classification/DecisionTreeClassifier.js, line 198

Returns:

Type: module:eclairjs/ml/classification.DecisionTreeClassifier

supportedImpurities() → {Promise.<Array.<string>>}

Accessor for supported impurities: entropy, gini

Source:

ml/classification/DecisionTreeClassifier.js, line 48

Returns:

Type: Promise.<Array.<string>>

uid() → {Promise.<Array.<string>>}

An immutable unique ID for the object and its derivatives.

Source:

ml/classification/DecisionTreeClassifier.js, line 63

Returns:

Type: Promise.<Array.<string>>