- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 1161 - 1170 of 1,699 for document (0.23 sec)
-
l1_min_c — scikit-learn 1.7.0 documentation
Gallery examples: Regularization path of L1- Logistic Regressionscikit-learn.org/stable/modules/generated/sklearn.svm.l1_min_c.html -
Features in Histogram Gradient Boosting Trees —...
Histogram-Based Gradient Boosting(HGBT) models may be one of the most useful supervised learning models in scikit-learn. They are based on a modern gradient boosting implementation comparable to Li...scikit-learn.org/stable/auto_examples/ensemble/plot_hgbt_regression.html -
check_random_state — scikit-learn 1.7.0 documen...
Gallery examples: Empirical evaluation of the impact of k-means initialization MNIST classification using multinomial logistic + L1 Manifold Learning methods on a severed sphere Isotonic Regression...scikit-learn.org/stable/modules/generated/sklearn.utils.check_random_state.html -
sklearn.model_selection — scikit-learn 1.7.0 do...
Tools for model selection, such as cross validation and hyper-parameter tuning. User guide. See the Cross-validation: evaluating estimator performance, Tuning the hyper-parameters of an estimator, ...scikit-learn.org/stable/api/sklearn.model_selection.html -
Recognizing hand-written digits — scikit-learn ...
This example shows how scikit-learn can be used to recognize images of hand-written digits, from 0-9. Digits dataset: The digits dataset consists of 8x8 pixel images of digits. The images attribute...scikit-learn.org/stable/auto_examples/classification/plot_digits_classification.html -
Multilabel classification using a classifier ch...
This example shows how to use ClassifierChain to solve a multilabel classification problem. The most naive strategy to solve such a task is to independently train a binary classifier on each label ...scikit-learn.org/stable/auto_examples/multioutput/plot_classifier_chain_yeast.html -
cross_val_score — scikit-learn 1.7.0 documentation
Gallery examples: Lagged features for time series forecasting Model selection with Probabilistic PCA and Factor Analysis (FA) Imputing missing values with variants of IterativeImputer Imputing miss...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html -
Compare Stochastic learning strategies for MLPC...
This example visualizes some training loss curves for different stochastic learning strategies, including SGD and Adam. Because of time-constraints, we use several small datasets, for which L-BFGS ...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_training_curves.html -
Image denoising using kernel PCA — scikit-learn...
This example shows how to use KernelPCA to denoise images. In short, we take advantage of the approximation function learned during fit to reconstruct the original image. We will compare the result...scikit-learn.org/stable/auto_examples/applications/plot_digits_denoising.html -
Outlier detection on a real data set — scikit-l...
This example illustrates the need for robust covariance estimation on a real data set. It is useful both for outlier detection and for a better understanding of the data structure. We selected two ...scikit-learn.org/stable/auto_examples/applications/plot_outlier_detection_wine.html