class_docstr: Representation of a MOJO Pipeline. This is currently an experimental feature.
docstr: Transform H2OFrame using a MOJO Pipeline.
  
  :param data: Frame to be transformed.
  :param allow_timestamps: Allows datetime columns to be used directly with MOJO pipelines. It is recommended
  to parse your datetime columns as Strings when using pipelines because pipelines can interpret certain datetime
  formats in a different way. If your H2OFrame is parsed from a binary file format (eg. Parquet) instead of CSV
  it is safe to turn this option on and use datetime columns directly.
  
  :returns: A new H2OFrame.
code: def transform(self, data, allow_timestamps=False):
      """
      Transform H2OFrame using a MOJO Pipeline.
  
      :param data: Frame to be transformed.
      :param allow_timestamps: Allows datetime columns to be used directly with MOJO pipelines. It is recommended
      to parse your datetime columns as Strings when using pipelines because pipelines can interpret certain datetime
      formats in a different way. If your H2OFrame is parsed from a binary file format (eg. Parquet) instead of CSV
      it is safe to turn this option on and use datetime columns directly.
  
      :returns: A new H2OFrame.
      """
      assert_is_type(data, H2OFrame)
      assert_is_type(allow_timestamps, bool)
      return H2OFrame._expr(
          ExprNode(
              "mojo.pipeline.transform",
              self.pipeline_id[0],
              data,
              allow_timestamps,
          )
      )
  
file_path: h2o-3/h2o-py/h2o/pipeline/mojo_pipeline.py
imports: import h2o
  from h2o.expr import ExprNode
  from h2o.frame import H2OFrame
  from h2o.utils.typechecks import assert_is_type
label_desc: Use image node_id 2 for calling the H2OMojoPipeline obj's underlying member method code with example usage: obj.transform(data, allow_timestamps) and returns: H2OFrame