- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 641 - 650 of 1,745 for document (1.65 sec)
-
Precision tuning (beta) | App Search documentat...
(beta) IMPORTANT : This documentation is no longer updated. Refer...version policy and the latest documentation . Precision tuning (beta)...www.elastic.co/guide/en/app-search/current/precision-tuning.html -
as_float_array — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version as_float_array # sklearn.utils. as_float_array ( X , ...scikit-learn.org/stable/modules/generated/sklearn.utils.as_float_array.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 -
Spectral clustering for image segmentation — sc...
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 -
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 -
FastICA on 2D point clouds — scikit-learn 1.7.2...
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 -
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 -
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 -
Comparison of Manifold Learning methods — sciki...
An illustration of dimensionality reduction on the S-curve dataset with various manifold learning methods. For a discussion and comparison of these algorithms, see the manifold module page For a si...scikit-learn.org/stable/auto_examples/manifold/plot_compare_methods.html -
SVM: Weighted samples — scikit-learn 1.7.2 docu...
Plot decision function of a weighted dataset, where the size of points is proportional to its weight. The sample weighting rescales the C parameter, which means that the classifier puts more emphas...scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html