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Image denoising using dictionary learning ̵...
2 , 2 ) difference = image - reference...copy () distorted [:, width // 2 :] += 0.075 * np . random . randn...scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html -
Restricted Boltzmann Machine features for digit...
2 , random_state = 0 ) Models definition...0.10s [BernoulliRBM] Iteration 2, pseudo-likelihood = -23.68, time...scikit-learn.org/stable/auto_examples/neural_networks/plot_rbm_logistic_classification.html -
Version 0.16 — scikit-learn 1.7.2 documen...
approximated rbf_kernel with gamma=g/2. ; the definition of gamma is...scikit-learn.org/stable/whats_new/v0.16.html -
Face completion with a multi-output estimators ...
n_pixels // 2 :] X_test = test [:, : ( n_pixels + 1 ) // 2 ] y_test.... figure ( figsize = ( 2.0 * n_cols , 2.26 * n_faces )) plt ....scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html -
Comparing Linear Bayesian Regressors — sc...
This example compares two different bayesian regressors: a Automatic Relevance Determination - ARD, a Bayesian Ridge Regression. In the first part, we use an Ordinary Least Squares(OLS) model as a ...scikit-learn.org/stable/auto_examples/linear_model/plot_ard.html -
Demo of DBSCAN clustering algorithm — sci...
DBSCAN (Density-Based Spatial Clustering of Applications with Noise) finds core samples in regions of high density and expands clusters from them. This algorithm is good for data which contains clu...scikit-learn.org/stable/auto_examples/cluster/plot_dbscan.html -
Plot Hierarchical Clustering Dendrogram —...
This example plots the corresponding dendrogram of a hierarchical clustering using AgglomerativeClustering and the dendrogram method available in scipy. Total running time of the script:(0 minutes ...scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_dendrogram.html -
An example of K-Means++ initialization — ...
An example to show the output of the sklearn.cluster.kmeans_plusplus function for generating initial seeds for clustering. K-Means++ is used as the default initialization for K-means. Total running...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_plusplus.html -
OOB Errors for Random Forests — scikit-le...
The RandomForestClassifier is trained using bootstrap aggregation, where each new tree is fit from a bootstrap sample of the training observations z_i = (x_i, y_i). The out-of-bag(OOB) error is the...scikit-learn.org/stable/auto_examples/ensemble/plot_ensemble_oob.html -
11. Common pitfalls and recommended practices &...
2.2. Data leakage during pre-processing..., test ) [0 3 5 6 7] [1 2 4 8 9] [1 2 4 8 9] [0 3 5 6 7] >>>...scikit-learn.org/stable/common_pitfalls.html