ensemble-outlier-sample-detection 0.1.0

You can do outlier detection.

ensemble_outlier_sample_detection

A method for removing outlier samples.

How to use.

You can see more details in the example.

from ensemble_outlier_sample_detection import EnsembleOutlierSampleDetector

elo = EnsembleOutlierSampleDetector(random_state = 334, n_jobs = -1)
elo.fit(X, y)
elo.outlier_support_    # boolean(np.ndarray)

Reference

Paper

• https://www.sciencedirect.com/science/article/abs/pii/S0169743917305919?via%3Dihub

Sites

• https://github.com/hkaneko1985/ensemble_outlier_sample_detection
• https://datachemeng.com/outlier_samples_detectionc_python/

LICENSE

Copyright © 2021 yu9824

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.