Class: PCAModel

eclairjs/ml/feature.PCAModel

Model fitted by PCA. Transforms vectors to a lower dimensional space.

Constructor

new PCAModel(pc)

Parameters:
Name Type Description
pc A principal components Matrix. Each column is one principal component.
Source:

Methods

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

Parameters:
Name Type Description
path string
Source:
Returns:
Type
module:eclairjs/mllib/feature.PCAModel

(static) read() → {MLReader}

Source:
Returns:
Type
MLReader

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

Parameters:
Name Type Description
extra module:eclairjs/ml/param.ParamMap
Source:
Returns:
Type
module:eclairjs/mllib/feature.PCAModel

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

Parameters:
Name Type Description
value string
Source:
Returns:
Type
module:eclairjs/mllib/feature.PCAModel

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

Parameters:
Name Type Description
value string
Source:
Returns:
Type
module:eclairjs/mllib/feature.PCAModel

transform(dataset) → {module:eclairjs/sql.Dataset}

Transform a vector by computed Principal Components. NOTE: Vectors to be transformed must be the same length as the source vectors given to [[PCA.fit()]].
Parameters:
Name Type Description
dataset module:eclairjs/sql.Dataset
Source:
Returns:
Type
module:eclairjs/sql.Dataset

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

Parameters:
Name Type Description
schema module:eclairjs/sql/types.StructType
Source:
Returns:
Type
module:eclairjs/sql/types.StructType

write() → {MLWriter}

Source:
Returns:
Type
MLWriter