sdf-transform-methods

From sparklyr v0.9.3 by Javier Luraschi

Spark ML -- Transform, fit, and predict methods (sdf_ interface)

Methods for transformation, fit, and prediction. These are mirrors of the corresponding ml-transform-methods.

Usage

sdf_predict(x, model, ...)
sdf_transform(x, transformer, ...)
sdf_fit(x, estimator, ...)
sdf_fit_and_transform(x, estimator, ...)

Arguments

x: A tbl_spark.
model: A ml_transformer or a ml_model object.
...: Optional arguments passed to the corresponding ml_ methods.
transformer: A ml_transformer object.
estimator: A ml_estimator object.

Value

sdf_predict(), sdf_transform(), and sdf_fit_and_transform() return a transformed dataframe whereas sdf_fit() returns a ml_transformer.

Documentation reproduced from package sparklyr, version 0.9.3, License: Apache License 2.0 | file LICENSE

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