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CCA — scikit-learn 1.8.0 documentation
[ 2. , 2. , 2. ], [ 3. , 5. , 4. ]] >>>...y = [[ 0.1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ], [ 11.9 ,...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.CCA.html -
Elasticsearch 9.3 adds bfloat16 vector support ...
only use 2 bytes. It does this by discarding the lowest 2 bytes...float16 format, which only uses 2 bytes per value. However, this...www.elastic.co/search-labs/blog/bfloat16-vector-support-elasticsearch -
manifest.json
icons[2].src: logo512.png icons[2].type: image/png icons[2].sizes:...developer.ibm.com/apis/manifest.json -
manifest.json
icons[2].src: /icon-512.png icons[2].sizes: 512x512 icons[2].type:...www.elastic.co/manifest.json -
test.log
2024-11-13 10:00:05 INFO [worker-2] Indexing document: test.pdf 2024-11-13...2024-11-13 10:00:06 DEBUG [worker-2] Extracted text content: 吾輩は猫である。名前はまだない。...raw.githubusercontent.com/codelibs/fess-testdata/master/files/logs/test.log -
Feature agglomeration vs. univariate selection ...
selection # This example compares 2 dimensionality reduction strategies:.... randn ( n_samples , size ** 2 ) for x in X : # smooth data x...scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.... -
MLPRegressor — scikit-learn 1.8.0 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...array-like of shape(n_layers - 2,), default=(100,) The ith element...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html -
locally_linear_embedding — scikit-learn 1.8.0 d...
(n_components + 1) / 2. see reference [2] modified use the modified...n_components = 2 ) >>> embedding . shape (100, 2) Gallery examples...scikit-learn.org/stable/modules/generated/sklearn.manifold.locally_linear_embedding.html -
Using KBinsDiscretizer to discretize continuous...
subplots ( ncols = 2 , sharey = True , figsize = (...predict ( line ), linewidth = 2 , color = "green" , label = "linear...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization.html -
7.7. Kernel Approximation — scikit-learn 1.8.0 ...
2. Radial Basis Function Kernel...is usually chosen to be 1 or 2, transforming the dataset to size...scikit-learn.org/stable/modules/kernel_approximation.html