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wmlba/isolationForest.py

Created March 5, 2019 13:41
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isolationForest.py
from sklearn.ensemble import IsolationForest
import numpy as np
np.random.seed(1)
random_data = np.random.randn(50000,2) * 20 + 20
clf = IsolationForest( behaviour = 'new', max_samples=100, random_state = 1, contamination= 'auto')
preds = clf.fit_predict(random_data)
preds
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