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sklearn.metrics.completeness_score — scikit-lea...
v_measure_score V-Measure (NMI with arithmetic...Rosenberg and Julia Hirschberg, 2007. V-Measure: A conditional entropy-based...scikit-learn.org/stable/modules/generated/sklearn.metrics.completeness_score.html -
plot_kmeans_digits.rst.txt
score compl completeness score v-meas V measure ARI adjusted Rand...metrics.completeness_score, metrics.v_measure_score, metrics.adjusted_rand_score,...scikit-learn.org/stable/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt -
sklearn.utils.Bunch — scikit-learn 1.4.2 docume...
v in E: D[k] = v In either case, this is...method, then does: for k, v in E: D[k] = v In either case, this is...scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html -
sklearn.feature_extraction.DictVectorizer — sci...
on import DictVectorizer >>> v = DictVectorizer ( sparse = False...'foo' : 3 , 'baz' : 1 }] >>> X = v . fit_transform ( D ) >>> X array([[2.,...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html -
Installing the development version of scikit-le...
Editable mode : pip install -v --no-use-pep517 --no-build-isolation...have to run the pip install -v --no-use-pep517 --no-build-isolation...scikit-learn.org/stable/developers/advanced_installation.html -
2.4. Biclustering — scikit-learn 1.4.2 document...
\(u_2 \dots u_{p+1}\) and \(v_2 \dots v_{p+1}\) except in the case...decomposition, \(A_n = U \Sigma V^\top\) , provides the partitions...scikit-learn.org/stable/modules/biclustering.html -
MetaFilter Podcast
at 9:01 AM - 21 comments 185a: V Rising and Severance Random podcast...so here it is. We talk about V Rising, a survive-o-craft vampire...podcast.metafilter.com -
sklearn.decomposition.MiniBatchDictionaryLearni...
V ^* ) = argmin 0.5 || X - U V || _Fro ^ 2 + alpha...* || U || _1 , 1 ( U , V ) with || V_k || _2 <= 1 for all 0 <=...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html -
sklearn.neural_network.BernoulliRBM — scikit-le...
gibbs (v) Perform one Gibbs sampling step....activation probabilities, P(h=1|v=X). fit ( X , y = None ) [source]...scikit-learn.org/stable/modules/generated/sklearn.neural_network.BernoulliRBM.html -
sklearn.linear_model.OrthogonalMatchingPursuit ...
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html