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Custom refit strategy of a grid search with cro...
Documentation for GridSearchCV i Fitted...SVC(C=1, gamma=0.001) SVC ? Documentation for SVC Parameters C C:...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_digits.html -
Spectral clustering for image segmentation R...
In this example, an image with connected circles is generated and spectral clustering is used to separate the circles. In these settings, the Spectral clustering approach solves the problem know as...scikit-learn.org/stable/auto_examples/cluster/plot_segmentation_toy.html -
7.7. Kernel Approximation — scikit-learn ...
This submodule contains functions that approximate the feature mappings that correspond to certain kernels, as they are used for example in support vector machines (see Support Vector Machines). Th...scikit-learn.org/stable/modules/kernel_approximation.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 -
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 -
1.8. Cross decomposition — scikit-learn 1...
The cross decomposition module contains supervised estimators for dimensionality reduction and regression, belonging to the “Partial Least Squares” family. Cross decomposition algorithms find the f...scikit-learn.org/stable/modules/cross_decomposition.html -
1.15. Isotonic regression — scikit-learn ...
The class IsotonicRegression fits a non-decreasing real function to 1-dimensional data. It solves the following problem:\min \sum_i w_i (y_i - \hat{y}_i)^2 subject to\hat{y}_i \le \hat{y}_j wheneve...scikit-learn.org/stable/modules/isotonic.html -
Time-related feature engineering — scikit...
This notebook introduces different strategies to leverage time-related features for a bike sharing demand regression task that is highly dependent on business cycles (days, weeks, months) and yearl...scikit-learn.org/stable/auto_examples/applications/plot_cyclical_feature_engineering.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 -
FastICA on 2D point clouds — scikit-learn...
This example illustrates visually in the feature space a comparison by results using two different component analysis techniques. Independent component analysis (ICA) vs Principal component analysi...scikit-learn.org/stable/auto_examples/decomposition/plot_ica_vs_pca.html