- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 521 - 530 of 1,555 for document (0.59 sec)
-
9.1. Strategies to scale computationally: bigge...
beyond the scope of this documentation. 9.1.1.2. Extracting features...shingVectorizer for text documents. 9.1.1.3. Incremental learning...scikit-learn.org/stable/computing/scaling_strategies.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 -
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 -
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 -
FastICA on 2D point clouds — scikit-learn 1.7.1...
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 -
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 -
Underfitting vs. Overfitting — scikit-learn 1.7...
This example demonstrates the problems of underfitting and overfitting and how we can use linear regression with polynomial features to approximate nonlinear functions. The plot shows the function ...scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.html -
Approximate nearest neighbors in TSNE — scikit-...
This example presents how to chain KNeighborsTransformer and TSNE in a pipeline. It also shows how to wrap the packages nmslib and pynndescent to replace KNeighborsTransformer and perform approxima...scikit-learn.org/stable/auto_examples/neighbors/approximate_nearest_neighbors.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