magcheong

/

ITI110_Energy_Prediction

like 1

• "numpy.ndarray",
• "pandas.core.indexes.numeric.Int64Index",
• "numpy.dtype",
• "pandas.core.arrays.datetimes.DatetimeArray",
• "pandas.core.indexes.base._new_Index",
• "pandas.core.indexes.datetimes.DatetimeIndex",
• "pandas._libs.tslibs.offsets.Hour",
• "pandas.core.indexes.datetimes._new_DatetimeIndex",
• "numpy.core.multiarray._reconstruct",
• "pandas._libs.arrays.__pyx_unpickle_NDArrayBacked",
• "pandas.core.indexes.multi.MultiIndex"

How to fix it?

• "numpy.core.multiarray._reconstruct",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "numpy.dtype",
• "numpy.core.multiarray.scalar",
• "pandas.core.indexes.base._new_Index",
• "neuralforecast.tsdataset.TimeSeriesDataset",
• "numpy.ndarray",
• "torch.storage._load_from_bytes",
• "pandas.core.indexes.base.Index"

How to fix it?

• "torch._utils._rebuild_parameter",
• "torch._utils._rebuild_tensor_v2",
• "_codecs.encode",
• "torch.FloatStorage",
• "neuralforecast.losses.pytorch.DistributionLoss",
• "collections.OrderedDict",
• "neuralforecast.losses.pytorch.poisson_scale_decouple",
• "numpy.core.multiarray.scalar",
• "neuralforecast.losses.pytorch.poisson_domain_map",
• "__builtin__.set",
• "torch.distributions.poisson.Poisson",
• "numpy.dtype"

How to fix it?