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olinguyen/shogun-rf-values.py

Created June 15, 2017 22:26
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shogun-rf-values.py
import numpy as np
from modshogun import *
features_train = RealFeatures(np.random.random_sample((10, 5)))
features_test = RealFeatures(np.random.random_sample((10, 5)))
labels_train = MulticlassLabels(np.array([np.random.randint(3) for i in range(5)]).astype(np.float))
labels_test = MulticlassLabels(np.array([np.random.randint(3) for i in range(5)]).astype(np.float))
m_vote = MajorityVote()
rand_forest = RandomForest(features_train, labels_train, 100)
rand_forest.set_combination_rule(m_vote)
rand_forest.train()
labels_predict = rand_forest.apply_multiclass(features_test)
labels_predict.get_values()
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