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Examples based on real world datasets — s...
Applications to real world problems with some medium sized datasets or interactive user interface. Compressive sensing: tomography reconstruction with L1 prior (Lasso) Faces recognition example usi...scikit-learn.org/stable/auto_examples/applications/index.html -
Uses of Package org.springframework.web.reactiv...
use: package: org.springframework.web.reactivedocs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/web/reactive/package... -
org.springframework.web.multipart Class Hierarc...
tree: package: org.springframework.web.multipartdocs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/web/multipart/packag... -
SVM-Anova: SVM with univariate feature selectio...
score_stds = list () percentiles = ( 1 , 3 , 6 , 10 , 15 , 20 , 30 ,...scikit-learn.org/stable/auto_examples/svm/plot_svm_anova.html -
2. Unsupervised learning — scikit-learn 1...
1. Gaussian mixture models 2.1.1. Gaussian Mixture 2.1.2....Mixture 2.2. Manifold learning 2.2.1. Introduction 2.2.2. Isomap 2.2.3....scikit-learn.org/stable/unsupervised_learning.html -
SVM Margins Example — scikit-learn 1.7.2 ...
0 ] * 20 + [ 1 ] * 20 # figure number fignum = 1 # fit the model...is sqrt(1+a^2) away vertically in # 2-d. margin = 1 / np . sqrt...scikit-learn.org/stable/auto_examples/svm/plot_svm_margin.html -
Polynomial and Spline interpolation — sci...
n_samples rows and degree + 1 columns: [[ 1 , x_0 , x_0 ** 2 , x_0...( X_plot )) axes [ 1 ] . legend ( axes [ 1 ] . lines , [ f "spline...scikit-learn.org/stable/auto_examples/linear_model/plot_polynomial_interpolation.html -
Gradient Boosting regression — scikit-lea...
subplot ( 1 , 1 , 1 ) plt . title ( "Deviance"...12 , 6 )) plt . subplot ( 1 , 2 , 1 ) plt . barh ( pos , feature_importance...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.html -
Theil-Sen Regression — scikit-learn 1.7.2...
than or equal to n_features + 1. The final slope and intercept...Linear model y = 3*x + N(2, 0.1**2) x = np . random . randn (...scikit-learn.org/stable/auto_examples/linear_model/plot_theilsen.html -
Version 0.20 — scikit-learn 1.7.2 documen...
1} or {-1, 1} through pos_label parameter....PyPy3-v5.10+, Numpy 1.14.0+, and scipy 1.1.0+ are required. #11010...scikit-learn.org/stable/whats_new/v0.20.html