hub / github.com/capitalk/treelearn / ClassifierEnsemble

Class ClassifierEnsemble

treelearn/classifier_ensemble.py:8–156 · view source on GitHub ↗

Train an ensemble of classifiers using a subset of the data for each base classifier. Parameters ---------- base_model : Any classifier which obeys the fit/predict protocol. Defaults to a Linear SVM with C = 1. num_models : int, optiona

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Callers 5

test_stacked_random_forestFunction · 0.90

train_random_forestFunction · 0.90

train_svm_forestFunction · 0.90

train_sgd_forestFunction · 0.90

mk_clustered_svm_ensembleFunction · 0.90

Calls

no outgoing calls

Tested by 1

test_stacked_random_forestFunction · 0.72