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7.1. Pipelines and composite estimators — sciki...
To build a composite estimator, transformers are usually combined with other transformers or with predictors(such as classifiers or regressors). The most common tool used for composing estimators i...scikit-learn.org/stable/modules/compose.html -
Selecting the number of clusters with silhouett...
text documents using k-means Clustering text documents using...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_silhouette_analysis.html -
A demo of K-Means clustering on the handwritten...
text documents using k-means Clustering text documents using...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.html -
9.1. Strategies to scale computationally: bigge...
beyond the scope of this documentation. 9.1.1.2. Extracting features...shingVectorizer for text documents. 9.1.1.3. Incremental learning...scikit-learn.org/stable/computing/scaling_strategies.html -
Feature agglomeration vs. univariate selection ...
This example compares 2 dimensionality reduction strategies: univariate feature selection with Anova, feature agglomeration with Ward hierarchical clustering. Both methods are compared in a regress...scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.... -
Online learning of a dictionary of parts of fac...
This example uses a large dataset of faces to learn a set of 20 x 20 images patches that constitute faces. From the programming standpoint, it is interesting because it shows how to use the online ...scikit-learn.org/stable/auto_examples/cluster/plot_dict_face_patches.html -
Gradient Boosting Out-of-Bag estimates — scikit...
Out-of-bag (OOB) estimates can be a useful heuristic to estimate the “optimal” number of boosting iterations. OOB estimates are almost identical to cross-validation estimates but they can be comput...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html -
Segmenting the picture of greek coins in region...
This example uses Spectral clustering on a graph created from voxel-to-voxel difference on an image to break this image into multiple partly-homogeneous regions. This procedure (spectral clustering...scikit-learn.org/stable/auto_examples/cluster/plot_coin_segmentation.html -
Multiclass Receiver Operating Characteristic (R...
This example describes the use of the Receiver Operating Characteristic (ROC) metric to evaluate the quality of multiclass classifiers. ROC curves typically feature true positive rate (TPR) on the ...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html -
Scalable learning with polynomial kernel approx...
This example illustrates the use of PolynomialCountSketch to efficiently generate polynomial kernel feature-space approximations. This is used to train linear classifiers that approximate the accur...scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html