v0.11.0 June 30, 2020

Added multiclass support for ROC curve graphing #832
Added preprocessing component to drop features whose percentage of NaN values exceeds a specified threshold #834
Added data check to check for problematic target labels #814
Added PerColumnImputer that allows imputation strategies per column #824
Added transformer to drop specific columns #827
Added support for categories, handle_error, and drop parameters in OneHotEncoder #830 #897
Added preprocessing component to handle DateTime columns featurization #838
Added ability to clone pipelines and components #842
Define getter method for component parameters #847
Added utility methods to calculate and graph permutation importances #860, #880
Added new utility functions necessary for generating dynamic preprocessing pipelines #852
Added kwargs to all components #863
Updated AutoSearchBase to use dynamically generated preprocessing pipelines #870
Added SelectColumns transformer #873
Added ability to evaluate additional pipelines for automl search #874
Added default_parameters class property to components and pipelines #879
Added better support for disabling data checks in automl search #892
Added ability to save and load AutoML objects to file #888
Updated AutoSearchBase.get_pipelines to return an untrained pipeline instance #876
Saved learned binary classification thresholds in automl results cv data dict #876

Fixed bug where SimpleImputer cannot handle dropped columns #846
Fixed bug where PerColumnImputer cannot handle dropped columns #855
Enforce requirement that builtin components save all inputted values in their parameters dict #847
Don't list base classes in all_components output #847
Standardize all components to output pandas data structures, and accept either pandas or numpy #853
Fixed rankings and full_rankings error when search has not been run #894

Update all_pipelines and all_components to try initializing pipelines/components, and on failure exclude them #849
Refactor handle_components to handle_components_class, standardize to ComponentBase subclass instead of instance #850
Refactor "blacklist"/"whitelist" to "allow"/"exclude" lists #854
Replaced AutoClassificationSearch and AutoRegressionSearch with AutoMLSearch #871
Renamed feature_importances and permutation_importances methods to use singular names (feature_importance and permutation_importance) #883
Updated automl default data splitter to train/validation split for large datasets #877
Added open source license, update some repo metadata #887

Update the changelog check job to expect the new branching pattern for the deps update bot #836
Check that all components output pandas datastructures, and can accept either pandas or numpy #853
Replaced AutoClassificationSearch and AutoRegressionSearch with AutoMLSearch #871

Pipelines' static component_graph field must contain either ComponentBase subclasses or str, instead of ComponentBase subclass instances #850
Rename handle_component to handle_component_class. Now standardizes to ComponentBase subclasses instead of ComponentBase subclass instances #850
Renamed automl's cv argument to data_split #877
Pipelines' and classifiers' feature_importances is renamed feature_importance, graph_feature_importances is renamed graph_feature_importance #883
Passing data_checks=None to automl search will not perform any data checks as opposed to default checks. #892
Pipelines to search for in AutoML are now determined automatically, rather than using the statically - defined pipeline classes. #870
Updated AutoSearchBase.get_pipelines to return an untrained pipeline instance, instead of one which happened to be trained on the final cross - validation fold #876

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