- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 11 - 20 of 179 for v (0.03 sec)
-
sklearn.metrics.mutual_info_score — scikit-lear...
\sum_{j=1}^{|V|} \frac{|U_i\cap V_j|}{N} \log\frac{N|U_i \cap V_j|}{|U_i||V_j|}\]...and \(|V_j|\) is the number of the samples in cluster \(V_j\) ,...scikit-learn.org/stable/modules/generated/sklearn.metrics.mutual_info_score.html -
2.9. Neural network models (unsupervised) — sci...
\[\begin{split}h_i \bot h_j | \mathbf{v} \\ v_i \bot v_j | \mathbf{h}\end{split}\]...\[E(\mathbf{v}, \mathbf{h}) = -\sum_i \sum_j w_{ij}v_ih_j - \sum_i...scikit-learn.org/stable/modules/neural_networks_unsupervised.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.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 -
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 -
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.LinearRegression — scikit-...
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.LinearRegression.html -
sklearn.ensemble.VotingRegressor — scikit-learn...
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.ensemble.VotingRegressor.html