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Hi @Ycallaer,
Great mlflow example.
However, I am struggeling with an error on the Fit function of the ARIMA model.
The first iteration ran sucessfully for the param_season. The second iteration faile with the error:
Exception has occurred: RestException
INVALID_PARAMETER_VALUE: Changing param values is not allowed. Param with key='seasonal_pdq' was already logged with value='(0, 0, 0, 12)' for run ID='d4045b3f32eb436a996cad4b28d376a3'. Attempted logging new value '(0, 0, 1, 12)'.
File "C:\Users\pauld\git\ArimaMlfowExample\dsmodels\arima\arima_impl.py", line 106, in fit
mlflow.log_param("seasonal_pdq", param_season)
File "C:\Users\pauld\git\ArimaMlfowExample\tests\scripts\test.py", line 23, in <module>
result=arima_model.fit(train_data)
Please find more details on the following screenshot:
The text was updated successfully, but these errors were encountered:
Hi @Ycallaer,
Great mlflow example.
However, I am struggeling with an error on the Fit function of the ARIMA model.
The first iteration ran sucessfully for the param_season. The second iteration faile with the error:
Please find more details on the following screenshot:
The text was updated successfully, but these errors were encountered: