def pop(self, path: str, wait: bool = False) -> None:
"""Removes the field or whole namespace stored under the path completely and all data associated with them.
Args:
path (str): Path of the field or namespace to be removed.
wait (bool, optional): If `True` the client will first wait to send all tracked metadata to the server.
This makes the call synchronous. Defaults to `False`.
Examples:
>>> import neptune.new as neptune
>>> project = neptune.init_project(name="MY_WORKSPACE/MY_PROJECT")
>>> # Delete a field along with it's data
... project.pop("datasets/v0.4")
>>> # .pop() can be invoked directly on fields and namespaces
>>> project['parameters/learning_rate'] = 0.3
>>> # Following line
... project.pop("datasets/v0.4")
>>> # is equiavlent to this line
... project["datasets/v0.4"].pop()
>>> # or this line
... project["datasets"].pop("v0.4")
>>> # You can also delete in batch whole namespace
... project["datasets"].pop()
You may also want to check `pop docs page`_.
.. _pop docs page:
https://docs.neptune.ai/api-reference/project#.pop
"""
return AttributeContainer.pop(self, path=path, wait=wait)
def pop(self, path: str, wait: bool = False) -> None:
"""Removes the field stored under the path completely and all data associated with it.
Args:
path (str): Path of the field to be removed.
wait (bool, optional): If `True` the client will first wait to send all tracked metadata to the server.
This makes the call synchronous. Defaults to `True`.
Examples:
>>> import neptune.new as neptune
>>> run = neptune.init()
>>> run['parameters/learninggg_rata'] = 0.3
>>> # Delete a field along with it's data
... run.pop('parameters/learninggg_rata')
>>> run['parameters/learning_rate'] = 0.3
>>> # Training finished
... run['trained_model'].upload('model.pt')
>>> # 'model_checkpoint' is a File field
... run.pop('model_checkpoint')
You may also want to check `pop docs page`_.
.. _pop docs page:
https://docs.neptune.ai/api-reference/run#.pop
"""
return AttributeContainer.pop(self, path=path, wait=wait)