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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 -
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.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 -
1.8. Cross decomposition — scikit-learn 1.4.2 d...
using the rotation matrix \(V(\Delta^T V)^{-1}\) , accessed via the...to compute \(u_k\) and \(v_k\) , \(v_k\) is never normalized....scikit-learn.org/stable/modules/cross_decomposition.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.compose.TransformedTargetRegressor — sc...
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.compose.TransformedTargetRegressor.html -
sklearn.metrics.homogeneity_score — scikit-lear...
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.homogeneity_score.html -
1.2. Linear and Quadratic Discriminant Analysis...
X_k^tX_k = \frac{1}{n - 1} V S^2 V^t\) where \(V\) comes from the SVD...(centered) matrix: \(X_k = U S V^t\) . It turns out that we can...scikit-learn.org/stable/modules/lda_qda.html -
sklearn.base.RegressorMixin — scikit-learn 1.4....
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.base.RegressorMixin.html