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.
ft_binarizer(x, input.col = NULL, output.col = NULL, threshold = 0.5, ...)An object (usually a spark_tbl) coercable to a Spark DataFrame.
The name of the input column(s).
The name of the output column.
The numeric threshold.
Optional arguments; currently unused.
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_regex_tokenizer,
ft_sql_transformer,
ft_string_indexer,
ft_tokenizer,
ft_vector_assembler,
sdf_mutate