JSDoc: Class: PCA

Class: PCA

eclairjs/ml/feature.PCA

PCA trains a model to project vectors to a lower dimensional space of the top [[PCA!.k]] principal components.

Constructor

new PCA(uidopt)

Parameters:

Name	Type	Attributes	Description
`uid`	string	<optional>

Source:

ml/feature/PCA.js, line 33

Methods

(static) load(path) → {module:eclairjs/mllib/feature.PCA}

Parameters:

Name	Type	Description
`path`	string

Source:

ml/feature/PCA.js, line 140

Returns:

Type: module:eclairjs/mllib/feature.PCA

copy(extra) → {module:eclairjs/mllib/feature.PCA}

Parameters:

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

Source:

ml/feature/PCA.js, line 121

Returns:

Type: module:eclairjs/mllib/feature.PCA

fit(dataset) → {module:eclairjs/mllib/feature.PCAModel}

Computes a PCAModel that contains the principal components of the input vectors.

Parameters:

Name	Type	Description
`dataset`	module:eclairjs/sql.Dataset

Source:

ml/feature/PCA.js, line 87

Returns:

Type: module:eclairjs/mllib/feature.PCAModel

setInputCol(value) → {module:eclairjs/mllib/feature.PCA}

Parameters:

Name	Type	Description
`value`	string

Source:

ml/feature/PCA.js, line 41

Returns:

Type: module:eclairjs/mllib/feature.PCA

setK(value) → {module:eclairjs/mllib/feature.PCA}

Parameters:

Name	Type	Description
`value`	number

Source:

ml/feature/PCA.js, line 71

Returns:

Type: module:eclairjs/mllib/feature.PCA

setOutputCol(value) → {module:eclairjs/mllib/feature.PCA}

Parameters:

Name	Type	Description
`value`	string

Source:

ml/feature/PCA.js, line 56

Returns:

Type: module:eclairjs/mllib/feature.PCA

transformSchema(schema) → {module:eclairjs/sql/types.StructType}

Parameters:

Name	Type	Description
`schema`	module:eclairjs/sql/types.StructType

Source:

ml/feature/PCA.js, line 104

Returns:

Type: module:eclairjs/sql/types.StructType