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Results 61 - 70 of 302 for d (0.03 sec)
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cross_validation.rst.txt
"d", "d", "d"] >>> groups = [1, 1, 1,...Cross-validation iterators for i.i.d. data ---------- Assuming that...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
sklearn.metrics.adjusted_rand_score — scikit-le...
FBF01908075 [ Steinley2004 ] D. Steinley, Properties of the Hubert-Arabie...scikit-learn.org/stable/modules/generated/sklearn.metrics.adjusted_rand_score.html -
Adding free and open Elastic APM as part of you...
You can try out any flavor you'd like, but I am going to walk through...up. docker-compose up --build -d The build step will take several...www.elastic.co/observability-labs/blog/free-open-elastic-apm-observability-deployment -
sklearn.decomposition.IncrementalPCA — scikit-l...
the incremental PCA model from: D. Ross, J. Lim, R. Lin, M. Yang,...deemed necessary. References D. Ross, J. Lim, R. Lin, M. Yang....scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.html -
sklearn.neural_network.BernoulliRBM — scikit-le...
this implementation is O(d ** 2) assuming d ~ n_features ~ n_components....scikit-learn.org/stable/modules/generated/sklearn.neural_network.BernoulliRBM.html -
sklearn.naive_bayes.ComplementNB — scikit-learn...
D., Shih, L., Teevan, J., & Karger, D. R. (2003)....scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.ComplementNB.html -
clustering.rst.txt
math:: d_m(x_p, x_q) = \max\{d_c(x_p), d_c(x_q), d(x_p, x_q)\}...math:: d_c(x_p)=d(x_p, x_*). Next it defines :math:`d_m(x_p,...scikit-learn.org/stable/_sources/modules/clustering.rst.txt -
preprocessing.rst.txt
"a" and "d" are considered infrequent and...+ ["b"] * 20 + ["c"] * 10 + ["d"] * 3 + [np.nan]], ... dtype=object).T...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
Boeing says workers skipped required tests on 7...
Tammy Duckworth (D-Ill.). Duckworth criticized Boeing...arstechnica.com/tech-policy/2024/05/boeing-says-workers-skipped-required-tests-on-787-but-recorde... -
sklearn.preprocessing.OneHotEncoder — scikit-le...
"b" ] * 20 + [ "c" ] * 10 + [ "d" ] * 3 ], dtype = object ) . T...infrequent_categories_ [array(['a', 'd'], dtype=object)] >>> ohe . transform...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html