- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 71 - 80 of 356 for musk (0.11 sec)
-
auto_examples_python.zip
label_b ab_mask = np.logical_or(a_mask, b_mask) a_true = a_mask[ab_mask]...res = np.logical_and(mask > mask.mean(), mask_outer) return np.logical_xor(res,...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
Plotting Validation Curves — scikit-learn 1.4.2...
y = X [ subset_mask ], y [ subset_mask ] disp = ValidationCurveDispl...( return_X_y = True ) subset_mask = np . isin ( y , [ 1 , 2 ])...scikit-learn.org/stable/auto_examples/model_selection/plot_validation_curve.html -
sklearn.mixture.BayesianGaussianMixture — sciki...
Must be one of: 'full' ( each component...and the covariances. String must be one of: ‘kmeans’ : responsibilities...scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html -
Compare BIRCH and MiniBatchKMeans — scikit-lear...
colors_ ): mask = labels == k ax . scatter ( X [ mask , 0 ], X...colors_ ): mask = mbk . labels_ == k ax . scatter ( X [ mask , 0 ],...scikit-learn.org/stable/auto_examples/cluster/plot_birch_vs_minibatchkmeans.html -
Older Versions — scikit-learn 1.4.2 documentation
all parameters must be passed to the object when...and mixture.VBGMM , parameters must be passed to an object when...scikit-learn.org/stable/whats_new/older_versions.html -
sklearn.feature_extraction.image.img_to_graph —...
mask=None , return_as=<class 'sc...width, channel) 2D or 3D image. mask ndarray of shape (height, width)...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.img_to_graph.html -
sklearn.metrics.DistanceMetric — scikit-learn 1...
the distance must be a true metric: i.e. it must satisfy the following...scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html -
sklearn.linear_model.SGDRegressor — scikit-lear...
Values must be in the range [0.0, inf) ....penalty is ‘elasticnet’. Values must be in the range [0.0, 1.0] ....scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html -
The Texas A&M University System deploys Elastic...
the cybersecurity team must defend eight state agencies....uncompromised." The A&M System must achieve all this on a tight...www.elastic.co/customers/tamus -
sklearn.svm.SVC — scikit-learn 1.4.2 documentation
Must be strictly positive. The penalty...polynomial kernel function (‘poly’). Must be non-negative. Ignored by...scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html