0.6.2

[rcap107]

New features

• The DataOp.skb.full_report() now displays the time each node took to evaluate. #1596 by Jérôme Dockès.
• The User guide has been reworked and expanded.

Changes and deprecations

• Ken embeddings are now deprecated. #1546 by Vincent Maladiere.
• The accepted values for the parameter how of .skb.apply() have changed. The new values are "auto", "cols", "frame", and "no_wrap". #1628 by Jérôme Dockès.
• The parameter splitter of .skb.train_test_split() has been renamed split_func. #1630 by Jérôme Dockès.

Main bugfixes

• Fixed the display of DataOp objects in Google Colab cell outputs. #1590 by Jérôme Dockès.
• Fixed the range from which choose_float() and choose_int() sample values when log=False and n_steps is None. It was between low and low + high, now it is between low and high. #1603 by Jérôme Dockès.
• The SkrubLearner used to do a prediction on the train set during fit(), this has been fixed. #1610 by Jérôme Dockès.

Full Changelog: 0.6.1...0.6.2

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This discussion was created from the release 0.6.2.