spark_pipeline_stage: Create a Pipeline Stage Object

In sparklyr: R Interface to Apache Spark

Create a Pipeline Stage Object

Description

Helper function to create pipeline stage objects with common parameter setters.

Usage

spark_pipeline_stage(
  sc,
  class,
  uid,
  features_col = NULL,
  label_col = NULL,
  prediction_col = NULL,
  probability_col = NULL,
  raw_prediction_col = NULL,
  k = NULL,
  max_iter = NULL,
  seed = NULL,
  input_col = NULL,
  input_cols = NULL,
  output_col = NULL,
  output_cols = NULL
)

Arguments

sc	A 'spark_connection' object.
class	Class name for the pipeline stage.
uid	A character string used to uniquely identify the ML estimator.
features_col	Features column name, as a length-one character vector. The column should be single vector column of numeric values. Usually this column is output by ft_r_formula.
label_col	Label column name. The column should be a numeric column. Usually this column is output by ft_r_formula.
prediction_col	Prediction column name.
probability_col	Column name for predicted class conditional probabilities.
raw_prediction_col	Raw prediction (a.k.a. confidence) column name.
k	The number of clusters to create
max_iter	The maximum number of iterations to use.
seed	A random seed. Set this value if you need your results to be reproducible across repeated calls.
input_col	The name of the input column.
input_cols	Names of output columns.
output_col	The name of the output column.

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