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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 -
sklearn.random_projection.johnson_lindenstrauss...
eps) ||u - v||^2 < ||p(u) - p(v)||^2 < (1 + eps) ||u - v||^2 Where...Where u and v are any rows taken from a dataset of shape (n_samples,...scikit-learn.org/stable/modules/generated/sklearn.random_projection.johnson_lindenstrauss_min_dim... -
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 -
6.2. Feature extraction — scikit-learn 1.4.2 do...
norm: \(v_{norm} = \frac{v}{||v||_2} = \frac{v}{\sqrt{v{_1}^2 +...norm: \(v_{norm} = \frac{v}{||v||_2} = \frac{v}{\sqrt{v{_1}^2 +...scikit-learn.org/stable/modules/feature_extraction.html -
sklearn.metrics.adjusted_mutual_info_score — sc...
V ) - E ( MI ( U , V ))] / [ avg ( H ( U ), H ( V )) - E...\(U\) and \(V\) , the AMI is given as: AMI ( U , V ) = [ MI (...scikit-learn.org/stable/modules/generated/sklearn.metrics.adjusted_mutual_info_score.html -
1.4. Support Vector Machines — scikit-learn 1.4...
support vectors \(v^{0}_1, v^{1}_1\) and \(v^{0}_2, v^{1}_2\) respectively....three support vectors \(v^{0}_0, v^{1}_0, v^{2}_0\) and class 1 and...scikit-learn.org/stable/modules/svm.html -
2.3. Clustering — scikit-learn 1.4.2 documentation
Likewise for \(V\) : \[H(V) = - \sum_{j=1}^{|V|}P'(j)\log(P'(j))\]...\frac{|U_i \cap V_j|}{N}\log\left(\frac{N|U_i \cap V_j|}{|U_i||V_j|}\right)\]...scikit-learn.org/stable/modules/clustering.html -
clustering.rst.txt
for :math:`V`: .. math:: H(V) = - \sum_{j=1}^{|V|}P'(j)\log(P'(j))...\frac{|U_i \cap V_j|}{N}\log\left(\frac{N|U_i \cap V_j|}{|U_i||V_j|}\right)...scikit-learn.org/stable/_sources/modules/clustering.rst.txt -
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 -
gtm.js
v=0,w=0;v<b.length-2;v+=3){var y=b[v], x=b[v+1],B=b[v+2],...0;y=v!==P.g.la?d(v):tm(c,v);if(dE.hasOwnProperty(v))MD(dE[v],v,y,e);else...www.googletagmanager.com/gtm.js