- Sort Score
- Num 10 results
- Language All
- Labels All
Results 1271 - 1280 of over 10,000 for 2 (0.56 seconds)
Filter
-
IsolationForest example — scikit-learn 1....
2 ) @ covariance + np . array ([ 2 , 2 ]) # general...randn ( n_samples , 2 ) + np . array ([ - 2 , - 2 ]) # spherical outliers...scikit-learn.org/stable/auto_examples/ensemble/plot_isolation_forest.html -
Allgemein
1: Docker (Empfohlen) Methode 2: ZIP-Paket Voraussetzungen Download...Web-Crawl-Konfiguration erstellen Schritt 2: Crawler ausführen Schritt 3:...fess.codelibs.org/de/overview.html -
NMF — scikit-learn 1.8.0 documentation
||H||_{Fro}^2,\end{aligned}\end{align} \] where \(||A||_{Fro}^2 = \sum_{i,j}...array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...scikit-learn.org/stable/modules/generated/sklearn.decomposition.NMF.html -
Plot classification boundaries with different S...
2 , 0.5 ], [ 0.2 , - 2.0 ], [ 0.5 , - 2.4 ], [ 0.2 , - 2.3...[ - 1.3 , - 1.2 ], [ - 1.1 , - 0.2 ], [ - 1.2 , - 0.4 ], [ -...scikit-learn.org/stable/auto_examples/svm/plot_svm_kernels.html -
median_absolute_error — scikit-learn 1.8....
2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>...>>> y_pred = [[ 0 , 2 ], [ - 1 , 2 ], [ 8 , - 5 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.median_absolute_error.html -
make_sparse_uncorrelated — scikit-learn 1...
0 ] + 2 * X [:, 1 ] - 2 * X [:, 2 ] - 1.5 * X [:, 3...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_uncorrelated.html -
Comparing different clustering algorithms on to...
xlim ( - 2.5 , 2.5 ) plt . ylim ( - 2.5 , 2.5 ) plt . xticks..."quantile" : 0.2 , "n_clusters" : 2 , "min_samples"...scikit-learn.org/stable/auto_examples/cluster/plot_cluster_comparison.html -
auto_examples_jupyter.zip
- l / 2.0) ** 2 + (y - l / 2.0) ** 2 < (l / 2.0) ** 2\n mask...1,\n figsize=(4 * 2.2, n_classifiers * 2.2),\n)\nevaluation_results...scikit-learn.org/stable/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip -
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 -
mean_tweedie_deviance — scikit-learn 1.8....
= [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2....y_pred > 0. 1 < p < 2 : Compound Poisson distribution....scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html