iforest

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