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afghan_forecast

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• "torch.DoubleStorage",
• "xarray.core.indexing.PandasIndexingAdapter",
• "pandas.core.indexes.datetimes._new_DatetimeIndex",
• "xarray.core.dataarray.DataArray",
• "collections.OrderedDict",
• "pandas.core.indexes.datetimes.DatetimeIndex",
• "darts.models.forecasting.tft_model.TFTModel",
• "numpy.ndarray",
• "numpy.dtype",
• "numpy.random._pickle.__randomstate_ctor",
• "darts.timeseries.TimeSeries",
• "darts.dataprocessing.encoders.encoders.SequentialEncoder",
• "xarray.core.variable.IndexVariable",
• "pandas.core.indexes.base.Index",
• "xarray.core.indexes.PandasIndex",
• "darts.utils.likelihood_models.QuantileRegression",
• "torch._utils._rebuild_tensor_v2",
• "pandas.core.arrays.datetimes.DatetimeArray",
• "darts.dataprocessing.encoders.encoders.FutureCyclicEncoder",
• "pandas.core.indexes.base._new_Index",
• "_codecs.encode",
• "darts.dataprocessing.encoders.encoder_base.FutureCovariatesIndexGenerator",
• "pandas._libs.arrays.__pyx_unpickle_NDArrayBacked",
• "xarray.core.variable.Variable",
• "numpy.core.multiarray._reconstruct",
• "numpy.float64",
• "pandas._libs.tslibs.offsets.MonthEnd"

How to fix it?

• "darts.utils.likelihood_models.QuantileRegression",
• "torch._utils._rebuild_tensor_v2",
• "torch.DoubleStorage",
• "torch.float64",
• "torch.optim.adam.Adam",
• "collections.OrderedDict"

How to fix it?