ProximityStump¶
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class
sktime.classification.distance_based.
ProximityStump
(random_state=None, get_exemplars=<function get_one_exemplar_per_class_proximity>, setup_distance_measure=<function setup_all_distance_measure_getter>, get_distance_measure=None, distance_measure=None, get_gain=<function gini_gain>, verbosity=0, n_jobs=1)[source]¶ Proximity Stump class to model a decision stump which uses a distance measure to partition data.
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class value list
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getters from dataframe and class value list
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__init__
(random_state=None, get_exemplars=<function get_one_exemplar_per_class_proximity>, setup_distance_measure=<function setup_all_distance_measure_getter>, get_distance_measure=None, distance_measure=None, get_gain=<function gini_gain>, verbosity=0, n_jobs=1)[source]¶ construct a proximity stump :param random_state: the random state :param get_exemplars: function to extract exemplars from a dataframe and class value list :param setup_distance_measure: function to setup the distance measure getters from dataframe and class value list :param get_distance_measure: distance measure getters :param distance_measure: distance measures :param get_gain: function to score the quality of a split :param verbosity: logging verbosity :param n_jobs: number of jobs to run in parallel *across threads”
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