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Update app.py
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app.py
CHANGED
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@@ -240,7 +240,7 @@ def transfer_learning_forecasting():
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columns = df.columns.tolist()
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ds_col = st.selectbox("Select Date/Time column", options=columns, index=columns.index('ds') if 'ds' in columns else 0)
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target_columns = [col for col in columns if col != ds_col]
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y_col = st.selectbox("Select Target column", options=target_columns, index=0)
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st.session_state.ds_col = ds_col
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@@ -342,7 +342,7 @@ def dynamic_forecasting():
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columns = df.columns.tolist()
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ds_col = st.selectbox("Select Date/Time column", options=columns, index=columns.index('ds') if 'ds' in columns else 0)
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target_columns = [col for col in columns if col != ds_col]
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y_col = st.selectbox("Select Target column", options=target_columns, index=0)
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st.session_state.ds_col = ds_col
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@@ -398,7 +398,7 @@ def timegpt_fcst():
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columns = df.columns.tolist()
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ds_col = st.selectbox("Select Date/Time column", options=columns, index=columns.index('ds') if 'ds' in columns else 0)
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target_columns = [col for col in columns if col != ds_col]
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y_col = st.selectbox("Select Target column", options=target_columns, index=0)
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h = st.number_input("Forecast horizon", value=14)
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@@ -465,7 +465,7 @@ def timegpt_anom():
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columns = df.columns.tolist()
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ds_col = st.selectbox("Select Date/Time column", options=columns, index=columns.index('ds') if 'ds' in columns else 0)
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target_columns = [col for col in columns if col != ds_col]
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y_col = st.selectbox("Select Target column", options=target_columns, index=0)
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df = df.rename(columns={ds_col: 'ds', y_col: 'y'})
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columns = df.columns.tolist()
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ds_col = st.selectbox("Select Date/Time column", options=columns, index=columns.index('ds') if 'ds' in columns else 0)
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target_columns = [col for col in columns if (col != ds_col) and (col != ds_col)]
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y_col = st.selectbox("Select Target column", options=target_columns, index=0)
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st.session_state.ds_col = ds_col
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columns = df.columns.tolist()
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ds_col = st.selectbox("Select Date/Time column", options=columns, index=columns.index('ds') if 'ds' in columns else 0)
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target_columns = [col for col in columns if (col != ds_col) and (col != ds_col)]
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y_col = st.selectbox("Select Target column", options=target_columns, index=0)
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st.session_state.ds_col = ds_col
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columns = df.columns.tolist()
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ds_col = st.selectbox("Select Date/Time column", options=columns, index=columns.index('ds') if 'ds' in columns else 0)
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target_columns = [col for col in columns if (col != ds_col) and (col != ds_col)]
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y_col = st.selectbox("Select Target column", options=target_columns, index=0)
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h = st.number_input("Forecast horizon", value=14)
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columns = df.columns.tolist()
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ds_col = st.selectbox("Select Date/Time column", options=columns, index=columns.index('ds') if 'ds' in columns else 0)
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target_columns = [col for col in columns if (col != ds_col) and (col != ds_col)]
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y_col = st.selectbox("Select Target column", options=target_columns, index=0)
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df = df.rename(columns={ds_col: 'ds', y_col: 'y'})
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