60dea9f922
Notable new features since 0.18.2: - `neighbors.LocalOutlierFactor` for anomaly detection - `preprocessing.QuantileTransformer` for robust feature transformation - `multioutput.ClassifierChain` meta-estimator to simply account for dependencies between classes in multilabel problem - multiplicative update in `decomposition.NMF` - multinomial `linear_model.LogisticRegression` with L1 loss
6 lines
432 B
Text
6 lines
432 B
Text
$NetBSD: distinfo,v 1.3 2017/11/21 18:45:28 minskim Exp $
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SHA1 (scikit-learn-0.19.1.tar.gz) = 3a3b4d6f27c6bdf12f870a7d78af22e1cdec9eb6
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RMD160 (scikit-learn-0.19.1.tar.gz) = dfb92fedadc1fecd9934f85321156f3f5d197a2e
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SHA512 (scikit-learn-0.19.1.tar.gz) = a783067d8b69c8720d00b443d985c32ab366c14e49184ebc4b73d8a8bfd28311461013b17c221a9b64d3a3faa2e46ce1badf77e340f8ae3b2bf08d95ecce0b2c
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Size (scikit-learn-0.19.1.tar.gz) = 9526647 bytes
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