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
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.
1 maintainer
Metadata
1 maintainer
Release files for ensemble-outlier-sample-detection 0.1.0
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