ft_vector_assembler

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Feature Transformation -- VectorAssembler

Combine multiple vectors into a single row-vector; that is, where each row element of the newly generated column is a vector formed by concatenating each row element from the specified input columns.

Usage
ft_vector_assembler(x, input_col = NULL, output_col = NULL)
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.
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_binarizer, 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, sdf_mutate

Aliases
  • ft_vector_assembler
Documentation reproduced from package sparklyr, version 0.3.1, License: file LICENSE

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