azrai99 commited on
Commit
084abe0
·
verified ·
1 Parent(s): 6cb4dbe

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +4 -8
app.py CHANGED
@@ -212,7 +212,7 @@ def transfer_learning_forecasting():
212
  if 'ds' in columns and 'unique_id' in columns:
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  columns.pop(columns.index('ds'))
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  columns.pop(columns.index('unique_id'))
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- opt = columns
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  y_col = st.selectbox("Select Target column", options=opt, index=0)
217
 
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  st.session_state.ds_col = ds_col
@@ -297,7 +297,7 @@ def dynamic_forecasting():
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  if 'ds' in columns and 'unique_id' in columns:
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  columns.pop(columns.index('ds'))
299
  columns.pop(columns.index('unique_id'))
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- opt = columns
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  y_col = st.selectbox("Select Target column", options=opt, index=0)
302
 
303
  df = df.rename(columns={ds_col: 'ds', y_col: 'y'})
@@ -341,7 +341,7 @@ def timegpt_fcst():
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  if 'ds' in columns and 'unique_id' in columns:
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  columns.pop(columns.index('ds'))
343
  columns.pop(columns.index('unique_id'))
344
- opt = columns
345
  y_col = st.selectbox("Select Target column", options=opt, index=0)
346
 
347
  df = df.rename(columns={ds_col: 'ds', y_col: 'y'})
@@ -363,8 +363,6 @@ def timegpt_fcst():
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  forecast_df = nixtla_client.forecast(
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  df=df,
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  h=7,
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- time_col='ds',
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- target_col='y',
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  freq=freq,
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  level=[90]
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  )
@@ -441,7 +439,7 @@ def timegpt_anom():
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  if 'ds' in columns and 'unique_id' in columns:
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  columns.pop(columns.index('ds'))
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  columns.pop(columns.index('unique_id'))
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- opt = columns
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  y_col = st.selectbox("Select Target column", options=opt, index=0)
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  df = df.rename(columns={ds_col: 'ds', y_col: 'y'})
@@ -457,8 +455,6 @@ def timegpt_anom():
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  if st.sidebar.button("Submit"):
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  anom_df = nixtla_client.detect_anomalies(
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  df=df,
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- time_col='ds',
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- target_col='y',
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  freq=freq,
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  level=90
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  )
 
212
  if 'ds' in columns and 'unique_id' in columns:
213
  columns.pop(columns.index('ds'))
214
  columns.pop(columns.index('unique_id'))
215
+ opt = columns
216
  y_col = st.selectbox("Select Target column", options=opt, index=0)
217
 
218
  st.session_state.ds_col = ds_col
 
297
  if 'ds' in columns and 'unique_id' in columns:
298
  columns.pop(columns.index('ds'))
299
  columns.pop(columns.index('unique_id'))
300
+ opt = columns
301
  y_col = st.selectbox("Select Target column", options=opt, index=0)
302
 
303
  df = df.rename(columns={ds_col: 'ds', y_col: 'y'})
 
341
  if 'ds' in columns and 'unique_id' in columns:
342
  columns.pop(columns.index('ds'))
343
  columns.pop(columns.index('unique_id'))
344
+ opt = columns
345
  y_col = st.selectbox("Select Target column", options=opt, index=0)
346
 
347
  df = df.rename(columns={ds_col: 'ds', y_col: 'y'})
 
363
  forecast_df = nixtla_client.forecast(
364
  df=df,
365
  h=7,
 
 
366
  freq=freq,
367
  level=[90]
368
  )
 
439
  if 'ds' in columns and 'unique_id' in columns:
440
  columns.pop(columns.index('ds'))
441
  columns.pop(columns.index('unique_id'))
442
+ opt = columns
443
  y_col = st.selectbox("Select Target column", options=opt, index=0)
444
 
445
  df = df.rename(columns={ds_col: 'ds', y_col: 'y'})
 
455
  if st.sidebar.button("Submit"):
456
  anom_df = nixtla_client.detect_anomalies(
457
  df=df,
 
 
458
  freq=freq,
459
  level=90
460
  )