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converting X and y to numpy array in fit #149

Merged
merged 1 commit into from
Feb 12, 2020
Merged

converting X and y to numpy array in fit #149

merged 1 commit into from
Feb 12, 2020

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bjkomer
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@bjkomer bjkomer commented Feb 12, 2020

  • converting X and y to a numpy array if not already an array or sparse matrix. Allows a user to pandas dataframe or series without needing to explicitly convert it themselves.
  • removing some obsolete code

Addresses #147 and a start to #122

@bjkomer bjkomer merged commit e3ec00d into master Feb 12, 2020
bjkomer added a commit that referenced this pull request Oct 25, 2020
* Add parameter n_jobs for multiprocessing to hyperopt_estimator

* Add lightgbm support (#145)

* Add lightgbm support

* Add tests for lightgbm and include import

* Change comments before tests

* Remove rf, add num_leaves, remove old xgboost parameters

* cleanup after lightgbm PR (#148)

* converting X and y to numpy array in fit (#149)

* removing preproc fitting by default when predicting (#154)

* error message when using estimator with no successful trials (#156)

* Added missing function import to Iris dataset example. (#159)

Co-authored-by: Gent Rexha <[email protected]>

* Add parameter n_jobs for multiprocessing to hyperopt_estimator

* Re-add n_jobs parameter

* Set n_jobs before fitting leaner

Co-authored-by: j2wong <[email protected]>
Co-authored-by: Brent Komer <[email protected]>
Co-authored-by: Gent Rexha <[email protected]>
Co-authored-by: Gent Rexha <[email protected]>
Co-authored-by: David Breuer <[email protected]>
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