ft_binarizer

0th

Percentile

Feature Transformation -- Binarizer

Apply thresholding to a column, such that values less than or equal to the threshold are assigned the value 0.0, and values greater than the threshold are assigned the value 1.0.

Usage
ft_binarizer(x, input_col = NULL, output_col = NULL, threshold = 0.5)
Arguments
x
An object (usually a spark_tbl) coercable to a Spark DataFrame.
input_col
The name of the input column(s).
output_col
The name of the output column.
threshold
The numeric threshold.
See Also

See http://spark.apache.org/docs/latest/ml-features.html for more information on the set of transformations available for DataFrame columns in Spark.

Other feature transformation routines: ft_bucketizer, ft_discrete_cosine_transform, ft_elementwise_product, ft_index_to_string, ft_one_hot_encoder, ft_quantile_discretizer, ft_sql_transformer, ft_string_indexer, ft_vector_assembler, sdf_mutate

Other feature transformation routines: ft_bucketizer, ft_discrete_cosine_transform, ft_elementwise_product, ft_index_to_string, ft_one_hot_encoder, ft_quantile_discretizer, ft_sql_transformer, ft_string_indexer, ft_vector_assembler, sdf_mutate

Aliases
  • ft_binarizer
Documentation reproduced from package sparklyr, version 0.3.12, License: file LICENSE

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kevin@fergs.com at Aug 4, 2017 sparklyr v0.6.0