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scikit-learn: machine learning in Python — scik...
2 is available for download ( Changelog...September 2024. scikit-learn 1.5.2 is available for download ( Changelog...scikit-learn.org/stable/index.html -
LassoLarsCV — scikit-learn 1.7.2 documentation
is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha * ||...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html -
Empirical evaluation of the impact of k-means i...
1 n_clusters = grid_size ** 2 def make_data ( random_state ,...across %d runs" % n_runs ) # Part 2: Qualitative visual inspection...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_stability_low_dim_dense.html -
TSNE — scikit-learn 1.7.2 documentation
2 - 0.8. Angle less than 0.2 has quickly increasing...sklearn.manifold. TSNE ( n_components = 2 , * , perplexity = 30.0 , early_exaggeration...scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html -
silhouette_score — scikit-learn 1.7.2 documenta...
defined if number of labels is 2 <= n_labels <= n_samples - 1 ....Applied Mathematics 20: 53-65. [ 2 ] Wikipedia entry on the Silhouette...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html -
Plot Hierarchical Clustering Dendrogram — sciki...
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 -
Comparing Linear Bayesian Regressors — scikit-l...
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 — scikit-le...
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 -
OOB Errors for Random Forests — scikit-learn 1....
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 -
3.4. Metrics and scoring: quantifying the quali...
y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 ] >>> r2_score...y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 + 1e-8...scikit-learn.org/stable/modules/model_evaluation.html