ft_binarizer
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. Column output is numeric for
compatibility with other modeling functions.
Usage
ft_binarizer(x, input.col, output.col, 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.
- ...
Optional arguments; currently unused.
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_count_vectorizer,
ft_discrete_cosine_transform,
ft_elementwise_product,
ft_index_to_string,
ft_one_hot_encoder,
ft_quantile_discretizer,
ft_regex_tokenizer,
ft_stop_words_remover,
ft_string_indexer,
ft_tokenizer,
ft_vector_assembler,
sdf_mutate