v0.2.11:

Version 0.2.11:

New Features

• added (very limited) sklearn.Pipeline support. You can pass a Pipeline as
  model parameter as long as the pipeline either:
  1. Does not add, remove or reorders any input columns
  2. has a .get_feature_names() method that returns the new column names
     (this is currently beings debated in sklearn SLEP007)
• added cutoff slider to CumulativePrecisionComponent
• For RegressionExplainer added ActualVsColComponent and PredsVsColComponent
  in order to investigate partial correlations between y/preds and
  various features.
• added index_name parameter: name of the index column (defaults to X.index.name
  or idxs.name). So when you pass index_name="Passenger", you get
  a "Random Passenger" button on the index selector instead of "Random Index",
  etc.

Bug Fixes

• Fixed a number of bugs for when no labels are passed (y=None):
  • fixing explainer.random_index() for when y is missing
  • Hiding label/y/residuals selector in RandomIndexSelectors
  • Hiding y/residuals in prediction summary
  • Hiding model_summary tab
  • Removing permutation importances from dashboard

Improvements

• Seperated labels for "observed" and "average prediction" better in tree plot
• Renamed "actual" to "observed" in prediction summary
• added unique column check for whatif-component with clearer error message
• model metrics now formatted in a nice table
• removed most of the loading spinners as most graphs are not long loads anyway.