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Procedimientos de Actualización
$ docker run --rm -v fess-es-data:/data -v $(pwd):/backup ubuntu.../data $ docker run --rm -v fess-data:/data -v $(pwd):/backup ubuntu...fess.codelibs.org/es/15.4/install/upgrade.html -
The Johnson-Lindenstrauss bound for embedding w...
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/auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound.html -
Upgrade Procedure
$ docker run --rm -v fess-es-data:/data -v $(pwd):/backup ubuntu.../data $ docker run --rm -v fess-data:/data -v $(pwd):/backup ubuntu...fess.codelibs.org/15.5/install/upgrade.html -
업그레이드 절차
$ docker run --rm -v fess-es-data:/data -v $(pwd):/backup ubuntu.../data $ docker run --rm -v fess-data:/data -v $(pwd):/backup ubuntu...fess.codelibs.org/ko/15.5/install/upgrade.html -
MiniBatchDictionaryLearning — scikit-learn 1.8....
V ^* ) = argmin 0.5 || X - U V || _Fro ^ 2 + alpha...alpha * || U || _1 , 1 ( U , V ) with || V_k || _2 <= 1 for all...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html -
QuantileRegressor — scikit-learn 1.8.0 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 -
BernoulliRBM — scikit-learn 1.8.0 documentation
gibbs ( v ) [source] # Perform one Gibbs...Gibbs sampling step. Parameters : v ndarray of shape (n_samples, n_features)...scikit-learn.org/stable/modules/generated/sklearn.neural_network.BernoulliRBM.html -
homogeneity_score — scikit-learn 1.8.0 document...
v_measure_score V-Measure (NMI with arithmetic mean...Rosenberg and Julia Hirschberg, 2007. V-Measure: A conditional entropy-based...scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_score.html -
升级步骤
$ docker run --rm -v fess-es-data:/data -v $(pwd):/backup ubuntu.../data $ docker run --rm -v fess-data:/data -v $(pwd):/backup ubuntu...fess.codelibs.org/zh-cn/15.5/install/upgrade.html -
feature_extraction.rst.txt
:math:`v_{norm} = \frac{v}{||v||_2} = \frac{v}{\sqrt{v{_1}^2 + v{_2}^2 + \dots...:math:`v_{norm} = \frac{v}{||v||_2} = \frac{v}{\sqrt{v{_1}^2 + v{_2}^2 + \dots...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt