def __init__(self, workspace, experiment, node_id, port_name,
data_type_id):
"""
INTERNAL USE ONLY. Initialize an intermediate dataset.
Parameters
----------
workspace : Workspace
Parent workspace of the dataset.
experiment : Experiment
Parent experiment of the dataset.
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.
"""
_not_none('workspace', workspace)
_not_none('experiment', experiment)
_not_none_or_empty('node_id', node_id)
_not_none_or_empty('port_name', port_name)
_not_none_or_empty('data_type_id', data_type_id)
self.workspace = workspace
self.experiment = experiment
self.node_id = node_id
self.port_name = port_name
self.data_type_id = data_type_id
if is_supported(self.data_type_id):
self.to_dataframe = self._to_dataframe
def __init__(self, workspace, experiment, node_id, port_name, data_type_id):
"""
INTERNAL USE ONLY. Initialize an intermediate dataset.
Parameters
----------
workspace : Workspace
Parent workspace of the dataset.
experiment : Experiment
Parent experiment of the dataset.
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.
"""
_not_none('workspace', workspace)
_not_none('experiment', experiment)
_not_none_or_empty('node_id', node_id)
_not_none_or_empty('port_name', port_name)
_not_none_or_empty('data_type_id', data_type_id)
self.workspace = workspace
self.experiment = experiment
self.node_id = node_id
self.port_name = port_name
self.data_type_id = data_type_id
if is_supported(self.data_type_id):
self.to_dataframe = self._to_dataframe
def __init__(self, workspace=None, metadata=None):
"""
INTERNAL USE ONLY. Initialize a dataset.
Parameters
----------
workspace : Workspace
Parent workspace of the dataset.
metadata : dict
Dictionary of dataset metadata as returned by the REST API.
"""
_not_none('metadata', metadata)
_not_none('workspace', workspace)
self.workspace = workspace
self._metadata = metadata
if is_supported(self.data_type_id):
self.to_dataframe = self._to_dataframe
if not self.is_example:
self.update_from_raw_data = self._update_from_raw_data
self.update_from_dataframe = self._update_from_dataframe
def __init__(self, workspace=None, metadata=None):
"""
INTERNAL USE ONLY. Initialize a dataset.
Parameters
----------
workspace : Workspace
Parent workspace of the dataset.
metadata : dict
Dictionary of dataset metadata as returned by the REST API.
"""
_not_none('metadata', metadata)
_not_none('workspace', workspace)
self.workspace = workspace
self._metadata = metadata
if is_supported(self.data_type_id):
self.to_dataframe = self._to_dataframe
if not self.is_example:
self.update_from_raw_data = self._update_from_raw_data
self.update_from_dataframe = self._update_from_dataframe
