Applicability Domain
How to use.
See example for details. Now, I' ll show you some easy example.
from applicability_domain import ApplicabilityDomainDetector
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = SEED)
ad = ApplicabilityDomainDetector(k = 5, alpha = 0.9)
ad.fit(X_train)
X_test_inlier = ad.transform(X_test)
References
Sites
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.
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Metadata
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Release files for applicability-domain 0.1.0
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Source distribution (sdist)
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| applicability_domain-0.1.0.tar.gz | 6.2 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| applicability_domain-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.0 kB
Release files / applicability_domain-0.1.0.tar.gz
| Download URL | applicability_domain-0.1.0.tar.gz |
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| Size | 6.2 kB |
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Release files / applicability_domain-0.1.0-py3-none-any.whl
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| Size | 4.8 kB |
| Tags | Python 3 |
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