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How to deploy NLP: Text embeddings and vector s...
From Elasticsearch v 8.11, it is not necessary anymore...following: Note: from Elasticsearch v 8.11, it is optional to provide...www.elastic.co/search-labs/blog/how-to-deploy-nlp-text-embeddings-and-vector-search -
Ridge — scikit-learn 1.7.1 documentation
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.Ridge.html -
CCA — scikit-learn 1.7.1 documentation
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.cross_decomposition.CCA.html -
QuantileRegressor — scikit-learn 1.7.1 document...
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.QuantileRegressor.html -
TheilSenRegressor — scikit-learn 1.7.1 document...
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.TheilSenRegressor.html -
normalized_mutual_info_score — scikit-learn 1.7...
See also v_measure_score V-Measure (NMI with arithmetic...scikit-learn.org/stable/modules/generated/sklearn.metrics.normalized_mutual_info_score.html -
NuSVR — scikit-learn 1.7.1 documentation
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.svm.NuSVR.html -
IsotonicRegression — scikit-learn 1.7.1 documen...
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.isotonic.IsotonicRegression.html -
GaussianProcessRegressor — scikit-learn 1.7.1 d...
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.gaussian_process.GaussianProcessRegressor.html -
ARDRegression — scikit-learn 1.7.1 documentation
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.ARDRegression.html