evalml
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alteryx
EvalML is an AutoML library written in python.
### Pull Request Description (replace this text with your description) ----- *After creating the pull request: in order to pass the **release_notes_updated** check you will need to update the "Future...
### Pull Request Description I pasted what Gaurav had in his comment into install_test.yaml. Closes #3415 ----- *After creating the pull request: in order to pass the **release_notes_updated** check you...
# v0.56.0 Aug. 10, 2022 ### Enhancements - Updated to run with Woodwork >= 0.17.2 #3626 - Add ``exclude_featurizers`` parameter to ``AutoMLSearch`` to specify featurizers that should be excluded from...
Reduces the default `test_size` in `split_data` to be 0.1 instead of 0.2, as long as the new value is greater than the passed in forecast horizon.
Right now, we add the imputer to every pipeline that includes datatypes that the imputer supports. However, the imputer is only useful when there is missing data for the component...
### Pull Request Description ``IDColumnsDataCheck`` now only returns an action code to set the first column as the primary key if it contains unique values
### Pull Request Description (replace this text with your description) ----- *After creating the pull request: in order to pass the **release_notes_updated** check you will need to update the "Future...
https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html Will need to run perf tests. Ideally, we can come up with some key examples where ordinal encoding outperforms one-hot encoding.
