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Update app.py
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app.py
CHANGED
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@@ -61,11 +61,14 @@ def train_and_forecast(
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# gluon_df = PandasDataset(df, target=df.columns[0])
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# except TypeError:
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freq = pd.infer_freq(df.index[:3])
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date_range = pd.date_range(df.index[0], pd.DateOffset(months=prediction_length//2) + df.index[-1], freq=freq)
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new_df = df.reindex(date_range)
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print(new_df)
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gluon_df = PandasDataset(new_df, target=new_df.columns[0], freq=freq)
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training_data, test_gen = split(gluon_df, offset=row_offset)
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if distribution == "StudentT":
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# gluon_df = PandasDataset(df, target=df.columns[0])
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# except TypeError:
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freq = pd.infer_freq(df.index[:3])
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print(freq)
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date_range = pd.date_range(df.index[0], pd.DateOffset(months=prediction_length//2) + df.index[-1], freq=freq)
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print(date_range)
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new_df = df.reindex(date_range)
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print(new_df)
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gluon_df = PandasDataset(new_df, target=new_df.columns[0], freq=freq)
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print(gluon_df)
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training_data, test_gen = split(gluon_df, offset=row_offset)
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if distribution == "StudentT":
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