You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on Dec 4, 2019. It is now read-only.
The documentation for RandomizedSearchCV implies that a best_params_ property is available after .fit() is called. This does not appear to be the case.
Should I attempt to implement a best_params_ property or indicate in the documentation that best_params_ is not supported (as it is a common API in sklearn-related libraries) in a PR?
The text was updated successfully, but these errors were encountered:
The documentation for RandomizedSearchCV implies that a best_params_ property is available after .fit() is called. This does not appear to be the case.
Here is the documentation in question:
https://github.com/databricks/spark-sklearn/blob/master/python/spark_sklearn/random_search.py#L162
Should I attempt to implement a best_params_ property or indicate in the documentation that best_params_ is not supported (as it is a common API in sklearn-related libraries) in a PR?
The text was updated successfully, but these errors were encountered: