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AI-Driven-Consumables-Forecasting

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• "pandas.core.indexes.range.RangeIndex",
• "pandas.core.series.Series",
• "cmdstanpy.stanfit.mle.CmdStanMLE",
• "pandas._libs.tslibs.timestamps._unpickle_timestamp",
• "prophet.forecaster.Prophet",
• "numpy.dtype",
• "pandas._libs.arrays.__pyx_unpickle_NDArrayBacked",
• "pandas.core.arrays.datetimes.DatetimeArray",
• "cmdstanpy.cmdstan_args.Method",
• "pandas.core.internals.managers.BlockManager",
• "numpy.ndarray",
• "pandas.core.frame.DataFrame",
• "builtins.slice",
• "collections.OrderedDict",
• "cmdstanpy.model.CmdStanModel",
• "cmdstanpy.compilation.CompilerOptions",
• "numpy.core.multiarray._reconstruct",
• "stanio.reshape.VariableType",
• "pandas.core.indexes.base._new_Index",
• "pandas._libs.internals._unpickle_block",
• "pandas.core.indexes.base.Index",
• "stanio.reshape.Variable",
• "prophet.models.CmdStanPyBackend",
• "pandas.core.internals.managers.SingleBlockManager",
• "cmdstanpy.stanfit.runset.RunSet",
• "pandas._libs.tslibs.timedeltas._timedelta_unpickle",
• "cmdstanpy.cmdstan_args.CmdStanArgs",
• "cmdstanpy.stanfit.metadata.InferenceMetadata",
• "cmdstanpy.cmdstan_args.OptimizeArgs"

How to fix it?