Update #1
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OneHotEncoder will treat all features as categorical features by default now instead of using the 'auto' configuration that attempts to automatically determine what features are categorical. We still need to look into the 'auto' configuration to find out what is causing this bug.
Refine parameters in VarianceThreshold and FeatureAgglomeration
Update installation of the lastest version (0.7) of xgboost
Add early_stop parameter in API doc
Limit chunk_size for n_jobs=-1
Add imputation in score() and its unit tests
Add support for pandas DataFrame as input in fit()
TPOT v0.9.3 minor release
I got an error 404 when following the link to the documentation: http://rhiever.github.io/tpot/using/ The correct should be the one I added (please verify).
updating dead url
Motivated by #708
To match changes in the official documentation
Update sample_weights documentation
Improve sample_weight documentation
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