software . 2021

rasbt/mlxtend: Version 0.14.0

Sebastian Raschka; James Bourbeau; Reiichiro Nakano; Kota Mori; Zach Griffith; JJLWHarrison; Will McGinnis; Jakub Šmíd; Daniel; Guillaume Poirier-Morency; ...
Open Access
  • Published: 02 Sep 2021
  • Publisher: Zenodo
Abstract
New Features StackingCVClassifier and StackingCVRegressor now support random_state parameter, which, together with shuffle, controls the randomness in the cv splitting. (#523 via Qiang Gu) StackingCVClassifier and StackingCVRegressor now have a new drop_last_proba parameter. It drops the last "probability" column in the feature set since if True, because it is redundant: p(y_c) = 1 - p(y_1) + p(y_2) + ... + p(y_{c-1}). This can be useful for meta-classifiers that are sensitive to perfectly collinear features. ([#532](https://github.com/rasbt/mlxtend/pull/532)) Other stacking estimators, including StackingClassifier, StackingCVClassifier and StackingRegressor, support grid search over the regressors and even a single base regressor. (#522 via Qiang Gu) Adds multiprocessing support to StackingCVClassifier. (#522 via Qiang Gu) Adds multiprocessing support to StackingCVRegressor. (#512 via Qiang Gu) Now, the StackingCVRegressor also enables grid search over the regressors and even a single base regressor. When there are level-mixed parameters, GridSearchCV will try to replace hyperparameters in a top-down order (see the documentation for examples details). (#515 via Qiang Gu) Adds a verbose parameter to apriori to show the current iteration number as well as the itemset size currently being sampled. (#519 Adds an optional class_name parameter to the confusion matrix function to display class names on the axis as tick marks. (#487 via sandpiturtle) Changes Due to new features, restructuring, and better scikit-learn support (for GridSearchCV, etc.) the StackingCVRegressor's meta regressor is now being accessed via 'meta_regressor__* in the parameter grid. E.g., if a RandomForestRegressor as meta- egressor was previously tuned via 'randomforestregressor__n_estimators', this has now changed to 'meta_regressor__n_estimators'. (#515 via Qiang Gu) The same change mentioned above is now applied to other stacking estimators, including StackingClassifier, StackingCVClassifier and StackingRegressor. (#522 via Qiang Gu) Bug Fixes The feature_selection.ColumnSelector now also supports column names of type int (in addition to str names) if the input is a pandas DataFrame. (#500 via tetrar124 Fix unreadable labels in plot_confusion_matrix for imbalanced datasets if show_absolute=True and show_normed=True. (#504) Raises a more informative error if a SparseDataFrame is passed to apriori and the dataframe has integer column names that don't start with 0 due to current limitations of the SparseDataFrame implementation in pandas. (#503) SequentialFeatureSelector now supports DataFrame as input for all operating modes (forward/backward/floating). #506 mlxtend.evaluate.feature_importance_permutation now correctly accepts scoring functions with proper function signature as metric argument. #528
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