- Sort Score
- Num 10 results
- Language All
- Labels All
Results 321 - 330 of 3,542 for document (2.61 seconds)
-
Incremental PCA — scikit-learn 1.8.0 docu...
Incremental principal component analysis (IPCA) is typically used as a replacement for principal component analysis (PCA) when the dataset to be decomposed is too large to fit in memory. IPCA build...scikit-learn.org/stable/auto_examples/decomposition/plot_incremental_pca.html -
Release History — scikit-learn 1.8.0 docu...
Changelogs and release notes for all scikit-learn releases are linked in this page. Version 1.8- Version 1.8.0., Version 1.7- Version 1.7.2, Version 1.7.1, Version 1.7.0., Version 1.6- Version 1.6....scikit-learn.org/stable/whats_new.html -
Classifier comparison — scikit-learn 1.8....
A comparison of several classifiers in scikit-learn on synthetic datasets. The point of this example is to illustrate the nature of decision boundaries of different classifiers. This should be take...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
sklearn.impute — scikit-learn 1.8.0 docum...
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 1.8.0 docu...
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 -
sklearn.linear_model — scikit-learn 1.8.0...
A variety of linear models. User guide. See the Linear Models section for further details. The following subsections are only rough guidelines: the same estimator can fall into multiple categories,...scikit-learn.org/stable/api/sklearn.linear_model.html -
sklearn.datasets — scikit-learn 1.8.0 doc...
Utilities to load popular datasets and artificial data generators. User guide. See the Dataset loading utilities section for further details. Loaders: Sample generators:scikit-learn.org/stable/api/sklearn.datasets.html -
GMM covariances — scikit-learn 1.8.0 docu...
Demonstration of several covariances types for Gaussian mixture models. See Gaussian mixture models for more information on the estimator. Although GMM are often used for clustering, we can compare...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html -
Covariance estimation — scikit-learn 1.8....
Examples concerning the sklearn.covariance module. Ledoit-Wolf vs OAS estimation Robust covariance estimation and Mahalanobis distances relevance Robust vs Empirical covariance estimate Shrinkage c...scikit-learn.org/stable/auto_examples/covariance/index.html -
Developing Estimators — scikit-learn 1.8....
Examples concerning the development of Custom Estimator.__sklearn_is_fitted__ as Developer APIscikit-learn.org/stable/auto_examples/developing_estimators/index.html