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Comparison of LDA and PCA 2D projection of Iris...
1 , 2 ], target_names ): plt . scatter...y == i , 0 ], X_r [ y == i , 1 ], color = color , alpha = 0.8...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html -
Restricted Boltzmann Machine features for digit...
1 )) # 0-1 scaling X_train , X_test...False tol 1 C 100.0 fit_intercept True intercept_scaling 1 class_weight...scikit-learn.org/stable/auto_examples/neural_networks/plot_rbm_logistic_classification.html -
Factor Analysis (with rotation) to visualize pa...
vmin =- 1 , vmax = 1 ) ax . set_xticks ([ 0 , 1 , 2 , 3 ])...set_xticks ([ 0 , 1 ]) ax . set_xticklabels ([ "Comp. 1" , "Comp. 2"...scikit-learn.org/stable/auto_examples/decomposition/plot_varimax_fa.html -
5.2. Permutation feature importance — scikit-le...
as: \[i_j = s - \frac{1}{K} \sum_{k=1}^{K} s_{k,j}\] 5.2.2. Relation...degradation of the model’s score [ 1 ] . By breaking the relationship...scikit-learn.org/stable/modules/permutation_importance.html -
Scikit-learn governance and decision-making — s...
“about” page: Requires +1 by a maintainer, no -1 by a maintainer (lazy...changes require +1 by two maintainers, no -1 by a maintainer (lazy...scikit-learn.org/stable/governance.html -
An example of K-Means++ initialization — scikit...
:: - 1 ] # Calculate seeds from k-means++...side sample data plt . figure ( 1 ) colors = [ "#4EACC5" , "#FF9C34"...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_plusplus.html -
Comparison of kernel ridge and Gaussian process...
num = 1_000 ) . reshape ( - 1 , 1 ) target = np . sin...ExpSineSquared(length_scale=1, periodicity=1) Our kernel has two parameters:...scikit-learn.org/stable/auto_examples/gaussian_process/plot_compare_gpr_krr.html -
Working with text documents — scikit-learn 1.7....
Examples concerning the sklearn.feature_extraction.text module. Classification of text documents using sparse features Clustering text documents using k-means FeatureHasher and DictVectorizer Compa...scikit-learn.org/stable/auto_examples/text/index.html -
sklearn.impute — scikit-learn 1.7.0 documentation
Transformers for missing value imputation. User guide. See the Imputation of missing values section for further details.scikit-learn.org/stable/api/sklearn.impute.html -
sklearn.compose — scikit-learn 1.7.0 documentation
Meta-estimators for building composite models with transformers. In addition to its current contents, this module will eventually be home to refurbished versions of Pipeline and FeatureUnion. User ...scikit-learn.org/stable/api/sklearn.compose.html