Feature Transformation -- VectorAssembler (Transformer)

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.

ft_vector_assembler(x, input_cols = NULL, output_col = NULL,
  uid = random_string("vector_assembler_"), ...)

Arguments

x

A spark_connection, ml_pipeline, or a tbl_spark.

input_cols

The names of the input columns

output_col

The name of the output column.

uid

A character string used to uniquely identify the feature transformer.

...

Optional arguments; currently unused.

Value

The object returned depends on the class of x.

  • spark_connection: When x is a spark_connection, the function returns a ml_transformer, a ml_estimator, or one of their subclasses. The object contains a pointer to a Spark Transformer or Estimator object and can be used to compose Pipeline objects.

  • ml_pipeline: When x is a ml_pipeline, the function returns a ml_pipeline with the transformer or estimator appended to the pipeline.

  • tbl_spark: When x is a tbl_spark, a transformer is constructed then immediately applied to the input tbl_spark, returning a tbl_spark

See also