auto-sklearn
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automl
Automated Machine Learning with scikit-learn
Are there any alternatives to One-hot encoding for categorical features? I maybe wrong but I think One-hot encoding is the only choice available for encoding categorical features and it doesn't...
# when it report ' Number of crashed target algorithm runs:1',what is the specific reason that causes an algorithm to crash?
Hello everyone! I was wondering if there was any way to retrieve the predictions and associated solutions that were used to compute the metrics during training. Specifically, in the case...
Using leaderboard() has been giving me hard time and giving errors ( I created a ticket for them) Is there any other way to find the best algorithm in my...
When dataset is mostly zeros I get an error when call leaderboard() >>> print(automl.leaderboard()) Traceback (most recent call last): File "", line 1, in File "/home/my/anaconda3/lib/python3.8/site-packages/autosklearn/estimators.py", line 841, in leaderboard...
Hi, I'm new to auto-sklearn and quite impressed by its performance and ease of use - thanks for all your effort! However, recently I experienced strange behavior that might be...
Scikit-learn provides multi-class options for area under curve: https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html We should provide the most common ones, such as the [OVO Macro averaging used by Auto-Gluon](https://github.com/awslabs/autogluon/blob/0b38dde5f698dbadfa1ce76aabda14505d9e3ead/core/src/autogluon/core/metrics/__init__.py#L443).
Currently, we give an example of the `single_best_optimization_score` but we do not give any information on which model achieved this score. It would be nice to also provide this information....
Currently, SMAC suggests hyperparameter configurations which are independent of the dataset size. For example, the hyperparameter `classifier:max_features` which is specified between zero and one is transformed according to `max_features =...