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make_circles — scikit-learn 1.8.0 documentation
n_samples int or tuple of shape (2,), dtype=int, default=100 If int,...ndarray of shape (n_samples, 2) The generated samples. y ndarray...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html -
Manifold learning on handwritten digits: Locall...
zorder = 2 , ) shown_images = np . array...(( X [ i ] - shown_images ) ** 2 , 1 ) if np . min ( dist ) < 4e-3...scikit-learn.org/stable/auto_examples/manifold/plot_lle_digits.html -
LabelBinarizer — scikit-learn 1.8.0 documentation
2 , 6 , 4 , 2 ]) LabelBinarizer() >>>...array([0, 1, 2]) >>> lb . transform ([ 0 , 1 , 2 , 1 ]) array([[1,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html -
inplace_csr_row_normalize_l1 — scikit-lea...
2 , 3 ]) >>> data = np . array ([ 1.0 , 2.0 , 3.0...>>> indptr = np . array ([ 0 , 2 , 3 , 4 ]) >>> indices...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs_fast.inplace_csr_row_normaliz... -
check_increasing — scikit-learn 1.8.0 documenta...
2 , 3 , 4 , 5 ], [ 2 , 4 , 6 , 8 , 10 ] >>>...np.True_ >>> y = [ 10 , 8 , 6 , 4 , 2 ] >>> check_increasing ( x , y...scikit-learn.org/stable/modules/generated/sklearn.isotonic.check_increasing.html -
Compressive sensing: tomography reconstruction ...
l / 2.0 ) ** 2 + ( y - l / 2.0 ) ** 2 < ( l / 2.0 ) ** 2 mask...np . float64 ) center = l_x / 2.0 X += 0.5 - center Y += 0.5 -...scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html -
Lars — scikit-learn 1.8.0 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...n_nonzero_coefs = 500 , eps = np.float64(2.220446049250313e-16) , copy_X...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lars.html -
accuracy_score — scikit-learn 1.8.0 documentation
2 , 1 , 3 ] >>> y_true = [ 0 , 1 , 2 , 3 ] >>> accuracy_score...], [ 1 , 1 ]]), np . ones (( 2 , 2 ))) 0.5 Gallery examples # Plot...scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html -
Deploying Vault securely in a confidential envi...
UgInJhZnQiIHsKICAgIH 3 ZhdWx 0 L 2 RhdGEiCiAgICB 2 YXVsdF 9 ub 2 RlX 25 hbWUgPSAidmF...bHRfMSIgICAgICAgICAg 2 V 0 dGluZyB 1 cCBhIHVuaXF 1 ZSBub 2 RlX 2 lkIGZvciBlYWNoIHZhdW...developer.ibm.com/tutorials/awb-deploy-vault-securely-confidential-environment/ -
Learn regression algorithms using Python and sc...
y = w 0 + w 1 x 1 + w 2 x 2 + .... + w n * x n In the following...regression. y = w 0 + w 1 x 1 + w 2 x 2 1 + .... + w n * x n n Even...developer.ibm.com/tutorials/learn-regression-algorithms-using-python-and-scikit-learn/