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plot_multi_metric_evaluation.ipynb
param_grid={\"min_samples_split\": range(2, 403, 20)},\n scoring=scoring,\n...scoring=scoring,\n refit=\"AUC\",\n n_jobs=2,\n return_train_score=True,\n)\ngs.fit(X,...scikit-learn.org/stable/_downloads/f57e1ee55d4c7a51949d5c26b3af07bb/plot_multi_metric_evaluation.... -
auc — scikit-learn 1.8.0 documentation
2 , 2 ]) >>> y_score = np...y_true , y_score , pos_label = 2 ) >>> metrics . auc (...scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html -
SGDClassifier — scikit-learn 1.8.0 docume...
loss/||x||**2) . ‘pa2’: passive-aggressive algorithm 2, see [1]...eta = hinge_loss / (||x||**2 + 1/(2 eta0)) . Added in version...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html -
Upgrade Procedure
2/fess-15.3.2.tar.gz $ tar -xzf fess-15.3.2.tar.gz Copy...-Uvh fess-15.3.2.rpm # DEB $ sudo dpkg -i fess-15.3.2.deb Note Configuration...fess.codelibs.org/15.3/install/upgrade.html -
RBF — scikit-learn 1.8.0 documentation
x_j)^2}{2l^2} \right)\] where \(l\) is the...very smooth. See [2] , Chapter 4, Section 4.2, for further details...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.html -
When hybrid search truly shines - Elasticsearch...
be: quiet home in Pinewood with 2 rooms , with quiet place being...the query while Pinewood with 2 rooms will be the textual or lexical...www.elastic.co/search-labs/blog/elasticsearch-hybrid-search -
FeatureHasher and DictVectorizer Comparison ...
'is': 2, 'one': 2, 'example': 1,...FeatureHasher is 2**20. Here we set n_features = 2**18 to illustrate...scikit-learn.org/stable/auto_examples/text/plot_hashing_vs_dict_vectorizer.html -
RBF SVM parameters — scikit-learn 1.8.0 d...
problem involving only 2 input features and 2 possible target classes...sub-sample the dataset to keep only 2 classes and make it a binary classification...scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html -
MeanShift — scikit-learn 1.8.0 documentation
complexity will tend towards O(T*n^2). Scalability can be boosted by...X = np . array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...scikit-learn.org/stable/modules/generated/sklearn.cluster.MeanShift.html -
PyTorch - IBM Developer
of 2 pages 1 2 of 2 pages Previous page Next...developer.ibm.com/components/pytorch/