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I am a little unsettled. Everywhere the ListDataset is used to prepare data for forecasting with DeepAr. I have now used a Pandasdataset and used the following code from the GluonTS page:
to_pandasdataset = lambda data: PandasDataset(
data,
feat_dynamic_real=["dynamic_real_1", "dynamic_real_2"],
feat_static_cat=["static_cat_1"],
)
train = to_pandasdataset([ts.iloc[:-prediction_length, :] for ts in multiple_ts])
test = to_pandasdataset(multiple_ts)
for Data I have a "list" of multiple ZR and I also have characteristics.
Should this work as well ?
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I am a little unsettled. Everywhere the ListDataset is used to prepare data for forecasting with DeepAr. I have now used a Pandasdataset and used the following code from the GluonTS page:
to_pandasdataset = lambda data: PandasDataset(
data,
feat_dynamic_real=["dynamic_real_1", "dynamic_real_2"],
feat_static_cat=["static_cat_1"],
)
train = to_pandasdataset([ts.iloc[:-prediction_length, :] for ts in multiple_ts])
test = to_pandasdataset(multiple_ts)
for Data I have a "list" of multiple ZR and I also have characteristics.
Should this work as well ?
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