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Update app.py
Browse files
app.py
CHANGED
@@ -54,9 +54,6 @@ def train_and_forecast(
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df.sort_index(inplace=True)
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except AttributeError:
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raise gr.Error("Upload a file with the Upload button")
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print(df)
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for i in range(prediction_length//2):
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df.loc[len(df.index)] = [f'predict_{i}', 0.0]
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row_offset = offset_calculation(prediction_length, rolling_windows, len(df))
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# prediction_length += int(len(df) * 0.1)
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@@ -64,7 +61,7 @@ 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], df.index[-1], freq=freq)
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new_df = df.reindex(date_range)
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gluon_df = PandasDataset(new_df, target=new_df.columns[0], freq=freq)
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df.sort_index(inplace=True)
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except AttributeError:
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raise gr.Error("Upload a file with the Upload button")
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row_offset = offset_calculation(prediction_length, rolling_windows, len(df))
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# prediction_length += int(len(df) * 0.1)
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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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gluon_df = PandasDataset(new_df, target=new_df.columns[0], freq=freq)
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