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kddcup99.rst
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Nicolas Goix authored
example + benchmark explanation make some private functions + fix public API IForest using BaseForest base class for trees debug + plot_iforest classic anomaly detection datasets and benchmark small modif BaseBagging inheritance shuffle dataset before benchmarking BaseBagging inheritance remove class label 4 from shuttle dataset pep8 + rm shuttle.csv bench_IsolationForest.png + doc decision_function add tests remove comments fetching kddcup99 and shuttle datasets fetching kddcup99 and shuttle datasets pep8 fetching kddcup99 and shuttle datasets pep8 new files iforest.py and test_iforest.py sc alternative to pandas (but very slow) in kddcup99.py faster parser sc pep8 + cleanup + simplification example outlier detection clean and correct idem random_state added percent10=True in benchmark mc remove shuttle + minor changes sc undo modif on forest.py and recompile cython on _tree.c fix travis cosmit change bagging to fix travis Revert "change bagging to fix travis" This reverts commit 30ea500eb818c7a2c6ea5c3d63e75c6935aa3a35. add max_samples_ in BaseBagging.fit to fix travis mc API : don't add fit param but use a private _fit + update tests + examples to avoid warning adapt to the new structure of _tree.pyx cosmit add performance test for iforest add _tree.c _utils.c _criterion.c TST : pass on tests remove test relax roc-auc to fix AppVeyor add test on toy samples Handle depth averaging at python level plot example: rm html add png load_kddcup99 -> fetch_kddcup99 + doc Take into account arjoly comments sh -> shuffle add decision_path code from #5487 to bench Take into account arjoly comments Revert "add decision_path code from #5487 to bench" This reverts commit 46ad44ab487f4fd2728d927cbe09000330e8663e. fix bug with max_samples != int
Nicolas Goix authoredexample + benchmark explanation make some private functions + fix public API IForest using BaseForest base class for trees debug + plot_iforest classic anomaly detection datasets and benchmark small modif BaseBagging inheritance shuffle dataset before benchmarking BaseBagging inheritance remove class label 4 from shuttle dataset pep8 + rm shuttle.csv bench_IsolationForest.png + doc decision_function add tests remove comments fetching kddcup99 and shuttle datasets fetching kddcup99 and shuttle datasets pep8 fetching kddcup99 and shuttle datasets pep8 new files iforest.py and test_iforest.py sc alternative to pandas (but very slow) in kddcup99.py faster parser sc pep8 + cleanup + simplification example outlier detection clean and correct idem random_state added percent10=True in benchmark mc remove shuttle + minor changes sc undo modif on forest.py and recompile cython on _tree.c fix travis cosmit change bagging to fix travis Revert "change bagging to fix travis" This reverts commit 30ea500eb818c7a2c6ea5c3d63e75c6935aa3a35. add max_samples_ in BaseBagging.fit to fix travis mc API : don't add fit param but use a private _fit + update tests + examples to avoid warning adapt to the new structure of _tree.pyx cosmit add performance test for iforest add _tree.c _utils.c _criterion.c TST : pass on tests remove test relax roc-auc to fix AppVeyor add test on toy samples Handle depth averaging at python level plot example: rm html add png load_kddcup99 -> fetch_kddcup99 + doc Take into account arjoly comments sh -> shuffle add decision_path code from #5487 to bench Take into account arjoly comments Revert "add decision_path code from #5487 to bench" This reverts commit 46ad44ab487f4fd2728d927cbe09000330e8663e. fix bug with max_samples != int
