ml-constructors: Constructors for Pipeline Stages

In sparklyr: R Interface to Apache Spark

Constructors for Pipeline Stages

Description

Functions for developers writing extensions for Spark ML.

Usage

new_ml_transformer(jobj, ..., class = character())

new_ml_prediction_model(jobj, ..., class = character())

new_ml_classification_model(jobj, ..., class = character())

new_ml_probabilistic_classification_model(jobj, ..., class = character())

new_ml_clustering_model(jobj, ..., class = character())

new_ml_estimator(jobj, ..., class = character())

new_ml_predictor(jobj, ..., class = character())

new_ml_classifier(jobj, ..., class = character())

new_ml_probabilistic_classifier(jobj, ..., class = character())

Arguments

jobj	Pointer to the pipeline stage object.
...	(Optional) additional attributes of the object.
class	Name of class.

sparklyr documentation built on Nov. 2, 2023, 5:09 p.m.