Update app.py
Browse files
app.py
CHANGED
@@ -237,7 +237,7 @@ if app_page == 'Prediction & Feature Importance':
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st.line_chart(fp_pred, x='ds', y='trend')
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st.write("Predictions between 2020 and 2024")
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df2 = df2[(df2['ds'] >= "1992-01-15 00:00:00") & (df2['ds'] <= "2020-01-15 00:00:00")]
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df_fp = pd.concat([df2['ds'], df2['Fed Effective Funds Rate']], axis=1)
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@@ -251,12 +251,9 @@ if app_page == 'Prediction & Feature Importance':
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fp_pred = fp_model.predict(future)
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chart_fp_pred = fp_pred
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fp_pred = fp_pred[["ds","trend"]]
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st.dataframe(fp_pred)
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st.line_chart(fp_pred, x='ds', y='trend')
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# Extract seasonality components
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fig = fp_model.plot_components(chart_fp_pred)
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st.line_chart(fp_pred, x='ds', y='trend')
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st.write("Time Series Predictions between 2020 and 2024")
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df2 = df2[(df2['ds'] >= "1992-01-15 00:00:00") & (df2['ds'] <= "2020-01-15 00:00:00")]
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df_fp = pd.concat([df2['ds'], df2['Fed Effective Funds Rate']], axis=1)
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fp_pred = fp_model.predict(future)
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chart_fp_pred = fp_pred
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fp_pred = fp_pred[["ds","trend"]]
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fp_pred = fp_pred[fp_pred['ds'] > "2020-01-15 00:00:00"]
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st.dataframe(fp_pred)
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# Extract seasonality components
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fig = fp_model.plot_components(chart_fp_pred)
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