Created
March 9, 2019 22:52
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| if_eif = iso.iForest(X.values, | |
| ntrees = 100, | |
| sample_size = 256, | |
| ExtensionLevel = 0) | |
| # calculate anomaly scores | |
| anomaly_scores = if_eif.compute_paths(X_in = X.values) | |
| # sort the scores | |
| anomaly_scores_sorted = np.argsort(anomaly_scores) | |
| # retrieve indices of anomalous observations | |
| indices_with_preds = anomaly_scores_sorted[-int(np.ceil(anomalies_ratio * X.shape[0])):] | |
| # create predictions | |
| y_pred = np.zeros_like(y) | |
| y_pred[indices_with_preds] = 1 |
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Is the anomalous ratio equivalent to the contamination rate here?