Esempio n. 1
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    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)
Esempio n. 2
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    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)