azureml/__init__.py
def get_intermediate_dataset(self, node_id, port_name, data_type_id):
        """
        Get an intermediate dataset.

        Parameters
        ----------
        node_id : str
            Module node id from the experiment graph.
        port_name : str
            Output port of the module.
        data_type_id : str
            Serialization format of the raw data.
            See the azureml.DataTypeIds class for constants.

        Returns
        -------
        IntermediateDataset
            Dataset object.
            Use open(), read_as_binary(), read_as_text() or to_dataframe() on
            the dataset object to get its contents as a stream, bytes, str or
            pandas DataFrame.
        """
        return IntermediateDataset(self.workspace, self, node_id, port_name, data_type_id)
def get_intermediate_dataset(self, node_id, port_name, data_type_id):
        return IntermediateDataset(self.workspace, self, node_id, port_name, data_type_id)
def get_intermediate_dataset ( self , node_id , port_name , data_type_id ) : return IntermediateDataset ( self . workspace , self , node_id , port_name , data_type_id )
Get an intermediate dataset.

        Parameters
        ----------
        node_id : str
            Module node id from the experiment graph.
        port_name : str
            Output port of the module.
        data_type_id : str
            Serialization format of the raw data.
            See the azureml.DataTypeIds class for constants.

        Returns
        -------
        IntermediateDataset
            Dataset object.
            Use open(), read_as_binary(), read_as_text() or to_dataframe() on
            the dataset object to get its contents as a stream, bytes, str or
            pandas DataFrame.
Get an intermediate dataset .