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Hi All, Im trying to use detect_anomalies function...
# timegpt
c
Hi All, Im trying to use detect_anomalies function as follows. anomalies_df = nixtla_client.detect_anomalies(df, time_col='time', target_col='M_Conv2_Speed_mmps', freq='D') It returns me below error. Can someone please help? Thank you.
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ApiError: status_code: 500, body: <!DOCTYPE html>
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m
Hello! Can you try running the code again today to see if the issue still persists?
c
Yes, it exists still
Update: my timeseries data are in seconds. when I add the freq='s' it worked.
✅ 1
I am having another error in using forecast method. This timeseries dataset has rows of 2 mins apart. timegpt_fcst = nixtla_client.forecast(model='timegpt-1-long-horizon',finetune_steps=150, df=df, h=2000,freq='100ms', level=[90], time_col='formatted_date', target_col='x4', ) Error: ApiError: status_code: 500, body: {'status': 500, 'data': {'detail': 'Internal server error, Please contact us at ops@nixtla.io or Azul'}, 'message': 'error', 'details': 'request had an error', 'code': 'B10', 'support': 'If you have questions or need support, please email ops@nixtla.io', 'requestID': 'PNZFPRTHNV', 'headers': {}} @Marco Can you please help me to resolve t? Thank you.
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