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Non-negative least squares — scikit-learn...
In this example, we fit a linear model with positive constraints on the regression coefficients and compare the estimated coefficients to a classic linear regression. Generate some random data Spli...scikit-learn.org/stable/auto_examples/linear_model/plot_nnls.html -
Gaussian Process for Machine Learning — s...
Examples concerning the sklearn.gaussian_process module. Ability of Gaussian process regression (GPR) to estimate data noise-level Comparison of kernel ridge and Gaussian process regression Forecas...scikit-learn.org/stable/auto_examples/gaussian_process/index.html -
7.5. Unsupervised dimensionality reduction R...
2. Random projections # The module:...scikit-learn.org/stable/modules/unsupervised_reduction.html -
Online learning of a dictionary of parts of fac...
2 , 4 )) for i , patch in enumerate...scikit-learn.org/stable/auto_examples/cluster/plot_dict_face_patches.html -
L1 Penalty and Sparsity in Logistic Regression ...
" % l1_ratio ) axes_row [ 2 ] . set_title ( "L2 penalty"...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html -
Gradient Boosting Out-of-Bag estimates — ...
staged_predict_proba ( X_test )): score [ i ] = 2 * log_loss ( y_test , y_proba...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html -
Sparse coding with a precomputed dictionary ...
) ** 2 / width ** 2 ) * np . exp ( - (( x - center ) ** 2 ) /.../ ( 2 * width ** 2 )) ) return x def ricker_matrix ( width , resolution...scikit-learn.org/stable/auto_examples/decomposition/plot_sparse_coding.html -
3.3. Tuning the decision threshold for class pr...
DecisionTreeClassifi ( max_depth = 2 , random_state = 0 ) . fit ( X...best_score_ np.float64(0.86) 3.3.1.2. Important notes regarding the...scikit-learn.org/stable/modules/classification_threshold.html -
Gaussian Mixture Model Selection — scikit...
convert to degrees v = 2.0 * np . sqrt ( 2.0 ) * np . sqrt ( v )...random . randn ( n_samples , 2 ), C ) # general component_2 =...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_selection.html -
Demonstration of k-means assumptions — sc...
subplots ( nrows = 2 , ncols = 2 , figsize = ( 12 , 12 ))...plt . subplots ( nrows = 2 , ncols = 2 , figsize = ( 12 , 12 ))...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_assumptions.html