def fetch(self) -> dict:
"""Fetch values of all non-File Atom fields as a dictionary.
The result will preserve the hierarchical structure of the run's metadata, but will contain only non-File Atom
fields.
You can use this method to quickly retrieve previous run's parameters.
Returns:
`dict` containing all non-File Atom fields values.
Examples:
>>> import neptune.new as neptune
>>> resumed_run = neptune.init(run="HEL-3")
>>> params = resumed_run['model/parameters'].fetch()
>>> run_data = resumed_run.fetch()
>>> print(run_data)
>>> # this will print out all Atom attributes stored in run as a dict
You may also want to check `fetch docs page`_.
.. _fetch docs page:
https://docs.neptune.ai/api-reference/run#.fetch
"""
return AttributeContainer.fetch(self)
def fetch(self) -> dict:
"""Fetch values of all non-File Atom fields as a dictionary.
The result will preserve the hierarchical structure of the projects's metadata
but will contain only non-File Atom fields.
Returns:
`dict` containing all non-File Atom fields values.
Examples:
>>> import neptune.new as neptune
>>> project = neptune.init_project(name="MY_WORKSPACE/MY_PROJECT")
>>> # Fetch all the project metrics
>>> project_metrics = project["metrics"].fetch()
You may also want to check `fetch docs page`_.
.. _fetch docs page:
https://docs.neptune.ai/api-reference/project#.fetch
"""
return AttributeContainer.fetch(self)