CODEOWNERS

# The file lists sktime's algorithm maintainers as specified in GOVERNANCE.md.
# Each line is a file pattern followed by one or more owners.

* @mloning

sktime/classification/dictionary_based/ @patrickzib @MatthewMiddlehurst @TonyBagnall
sktime/classification/dictionary_based/tests/ @patrickzib @MatthewMiddlehurst
sktime/classification/distance_based/ @jasonlines @goaster @TonyBagnall
sktime/classification/feature_based/ @MatthewMiddlehurst @TonyBagnall
sktime/classification/feature_based/tests/ @MatthewMiddlehurst
sktime/classification/feature_based/_signature_classifier.py @jambo6
sktime/classification/hybrid/ @MatthewMiddlehurst @TonyBagnall
sktime/classification/hybrid/tests/ @MatthewMiddlehurst
sktime/classification/interval_based/ @MatthewMiddlehurst @TonyBagnall
sktime/classification/interval_based/tests/ @MatthewMiddlehurst
sktime/classification/kernel_based/ @MatthewMiddlehurst @TonyBagnall
sktime/classification/kernel_based/tests/ @MatthewMiddlehurst
sktime/classification/shapelet_based/ @jasonlines @ABostrom @TonyBagnall

sktime/transformations/panel/dictionary_based/ @patrickzib @MatthewMiddlehurst
sktime/transformations/panel/shapelets/ @jasonlines @ABostrom @TonyBagnall
sktime/transformations/panel/rocket/ @angus924
sktime/transformations/panel/catch22.py @MatthewMiddlehurst
sktime/transformations/series/impute.py @aiwalter
sktime/transformations/series/outlier_detection.py @aiwalter
sktime/transformations/series/compose.py @aiwalter
sktime/transformations/panel/signature_based/ @jambo6
sktime/transformations/series/theta.py @GuzalBulatova
sktime/transformations/series/exponent.py @rnkuhns

sktime/forecasting/base/ @fkiraly @mloning @aiwalter
sktime/forecasting/ets.py @HYang1996
sktime/forecasting/tests/test_ets.py @HYang1996
sktime/forecasting/fbprophet.py @aiwalter
sktime/forecasting/bats.py @aiwalter
sktime/forecasting/tbats.py @aiwalter
sktime/forecasting/arima.py @HYang1996
sktime/forecasting/model_selection/_split @koralturkk
sktime/forecasting/compose/_column_ensemble.py @GuzalBulatova
sktime/forecasting/compose/_multiplexer.py @koralturkk @aiwalter
sktime/forecasting/compose/_pipeline.py @aiwalter

sktime/forecasting/online_learning/ @magittan

sktime/performance_metrics/forecasting/_functions.py @aiwalter @rnkuhns
sktime/performance_metrics/forecasting/_classes.py @rnkuhns

sktime/forecasting/hcrystalball.py @MichalChromcak
sktime/forecasting/test/test_hcrystalball.py @MichalChromcak