alteryx/evalml
Linear model throws convergence error on city_rev.csv
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#2 763 ouverte le 9 sept. 2021
buggood first issueperformance
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Description
Preview of the error:
We've noticed this for several of our perf testing datasets. One in particular was regress.csv
Cloudwatch link here
The warning being printed:
2021-09-09T17:33:44.934-04:00 | //.pyenv/versions/3.8.3/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:763: ConvergenceWarning: lbfgs failed to converge (status=1):
-- | --
| 2021-09-09T17:33:44.934-04:00 | STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
| 2021-09-09T17:33:44.934-04:00 | Increase the number of iterations (max_iter) or scale the data as shown in:
| 2021-09-09T17:33:44.934-04:00 | https://scikit-learn.org/stable/modules/preprocessing.html
| 2021-09-09T17:33:44.934-04:00 | Please also refer to the documentation for alternative solver options:
| 2021-09-09T17:33:44.934-04:00 | https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
| 2021-09-09T17:33:44.934-04:00 | n_iter_i = _check_optimize_result(
This could be in relation to the Elastic Net models we have.