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Update app.py
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app.py
CHANGED
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@@ -9,6 +9,7 @@ from neuralforecast.utils import AirPassengersDF
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import time
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from st_aggrid import AgGrid
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from nixtla import NixtlaClient
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@st.cache_resource
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@@ -208,7 +209,7 @@ def transfer_learning_forecasting():
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# Column selection
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columns = df.columns.tolist() # Convert Index to list
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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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y_col = st.selectbox("Select Target column", options=columns)
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# unique_id_col = st.text_input("Unique ID column (default: '1')", value="1")
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st.session_state.ds_col = ds_col
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@@ -290,7 +291,7 @@ def dynamic_forecasting():
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# Column selection
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columns = df.columns.tolist() # Convert Index to list
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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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y_col = st.selectbox("Select Target column", options=columns)
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# unique_id_col = st.text_input("Unique ID column (default: '1')", value="1")
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df = df.rename(columns={ds_col: 'ds', y_col: 'y'})
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@@ -331,7 +332,7 @@ def timegpt_fcst():
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# Column selection
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columns = df.columns.tolist() # Convert Index to list
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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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y_col = st.selectbox("Select Target column", options=columns)
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df = df.rename(columns={ds_col: 'ds', y_col: 'y'})
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@@ -372,7 +373,7 @@ def timegpt_anom():
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# Column selection
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columns = df.columns.tolist() # Convert Index to list
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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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y_col = st.selectbox("Select Target column", options=columns)
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df = df.rename(columns={ds_col: 'ds', y_col: 'y'})
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import time
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from st_aggrid import AgGrid
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from nixtla import NixtlaClient
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import os
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@st.cache_resource
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# Column selection
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columns = df.columns.tolist() # Convert Index to list
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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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y_col = st.selectbox("Select Target column", options=columns,, index=columns.index('ds') if 'ds' in columns else 0)
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# unique_id_col = st.text_input("Unique ID column (default: '1')", value="1")
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st.session_state.ds_col = ds_col
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# Column selection
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columns = df.columns.tolist() # Convert Index to list
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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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y_col = st.selectbox("Select Target column", options=columns, index=columns.index('ds') if 'ds' in columns else 0)
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# unique_id_col = st.text_input("Unique ID column (default: '1')", value="1")
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df = df.rename(columns={ds_col: 'ds', y_col: 'y'})
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# Column selection
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columns = df.columns.tolist() # Convert Index to list
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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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y_col = st.selectbox("Select Target column", options=columns, index=columns.index('ds') if 'ds' in columns else 0)
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df = df.rename(columns={ds_col: 'ds', y_col: 'y'})
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# Column selection
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columns = df.columns.tolist() # Convert Index to list
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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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y_col = st.selectbox("Select Target column", options=columns, index=columns.index('ds') if 'ds' in columns else 0)
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df = df.rename(columns={ds_col: 'ds', y_col: 'y'})
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