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https://scikit-learn.org/stable/modules/sgd.html 1.5. Stochastic Gradient Descent — scikit-learn 1.8.0 documentation Stochastic Gradient Descent (SGD) is a simple yet very efficient approach to fitting linear classifiers and regressors under convex loss functions such as... stochastic gradient descent scikit learn 8 1 5 0 documentation https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/how-to/back-up-and-restore/ How to back up and restore - Charmed MySQL 8.0 documentation How-to guides for backing up and restoring Charmed MySQL, covering S3 configuration, creating backups, restoring, and cluster migration. charmed mysql 8 0 documentation back restore https://agda.readthedocs.io/en/v2.8.0-r3/language/universe-levels.html Universe Levels — Agda 2.8.0 documentation agda 2 8 0 documentation universe levels https://www.mindspore.cn/docs/en/r2.8.0/api_python/mindspore.amp.html mindspore.amp | MindSpore 2.8.0 documentation | MindSpore 2 8 0 mindspore amp documentation https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/how-to/back-up-and-restore/migrate-a-cluster/ How to migrate a cluster - Charmed MySQL 8.0 documentation Migrate a Charmed MySQL cluster by restoring a backup from a source cluster to a new cluster, including password synchronization steps. cluster charmed mysql 8 0 documentation migrate https://optuna.readthedocs.io/en/stable/reference/index.html API Reference — Optuna 4.8.0 documentation 4 8 0 api reference optuna documentation https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html Multiclass Receiver Operating Characteristic (ROC) — scikit-learn 1.8.0 documentation This example describes the use of the Receiver Operating Characteristic (ROC) metric to evaluate the quality of multiclass classifiers. ROC curves typically... scikit learn 1 8 0 documentation multiclass receiver operating https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/explanation/users/ Users - Charmed MySQL 8.0 documentation Understand the types of MySQL users in Charmed MySQL: internal operator users and relation users created for integrated applications. charmed mysql 8 0 documentation users https://scikit-learn.org/stable/user_guide User Guide — scikit-learn 1.8.0 documentation Supervised learning- Linear Models- Ordinary Least Squares, Ridge regression and classification, Lasso, Multi-task Lasso, Elastic-Net, Multi-task Elastic-Net,... scikit learn 1 8 0 documentation user guide https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/reference/release-notes/vm/revision-240/ Revision 240 - Charmed MySQL 8.0 documentation Release notes for Charmed MySQL VM revision 240 (MySQL 8.0.36): async cluster-cluster replication, Ubuntu Pro support, and COS Tempo tracing. charmed mysql 8 0 documentation revision 240 https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/how-to/deploy/vm-clouds/gce/ How to deploy on GCE - Charmed MySQL 8.0 documentation Deploy Charmed MySQL on Google Compute Engine: install Juju and gcloud CLI, create a service account, and bootstrap a Juju controller. charmed mysql 8 0 documentation deploy gce https://scikit-learn.org/stable/inspection.html 5. Inspection — scikit-learn 1.8.0 documentation Predictive performance is often the main goal of developing machine learning models. Yet summarizing performance with an evaluation metric is often... scikit learn 1 8 0 documentation 5 inspection https://www.mindspore.cn/mindformers/docs/en/r1.8.0/advanced_development/precision_optimization.html Large Model Precision Optimization Guide | MindSpore Transformers 1.8.0 documentation | MindSpore mindspore transformers 1 8 0 documentation large model optimization guide precision https://www.mindspore.cn/mindformers/docs/en/r1.8.0/feature/safetensors.html Safetensors Weights | MindSpore Transformers 1.8.0 documentation | MindSpore mindspore transformers 1 8 0 documentation safetensors weights https://www.mindspore.cn/docs/en/r2.8.0/api_python/mint/mindspore.mint.topk.html mindspore.mint.topk | MindSpore 2.8.0 documentation | MindSpore 2 8 0 mindspore mint topk documentation https://scikit-learn.org/stable/ scikit-learn: machine learning in Python — scikit-learn 1.8.0 documentation learn machine learning 1 8 0 scikit python documentation https://www.mindspore.cn/mindformers/docs/en/stable/faq/model_related.html Model-Related FAQ | MindSpore Transformers 1.8.0 documentation | MindSpore mindspore transformers 1 8 0 documentation related faq model https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/reference/release-notes/k8s/revisions-254-255/ Revisions 254, 255 - Charmed MySQL 8.0 documentation Release notes for Charmed MySQL K8s revisions 254 and 255 (MySQL 8.0.41), fixing root user password reset initialization behavior. charmed mysql 8 0 documentation revisions 254 255 https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/reference/release-notes/k8s/revisions-342-344/ Revisions 342, 343, 344 - Charmed MySQL 8.0 documentation Release notes for Charmed MySQL K8s revisions 342–344 (MySQL 8.0.44): first s390x architecture support for amd64, arm64, and s390x. charmed mysql 8 0 documentation revisions 342 343 https://www.mindspore.cn/docs/en/stable/index.html API | MindSpore 2.8.0 documentation | MindSpore mindspore 2 8 0 documentation api https://www.mindspore.cn/mindformers/docs/en/stable/RELEASE.html Release Notes | MindSpore Transformers 1.8.0 documentation | MindSpore mindspore transformers 1 8 0 documentation release notes https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/reference/release-notes/vm/revisions-442-444/ Revisions 442, 443, 444 - Charmed MySQL 8.0 documentation Release notes for Charmed MySQL VM revisions 442–444 (MySQL 8.0.44): point-in-time backup recovery and Juju network spaces support added. charmed mysql 8 0 documentation revisions 442 443 https://scikit-learn.org/stable/modules/naive_bayes.html 1.9. Naive Bayes — scikit-learn 1.8.0 documentation Naive Bayes methods are a set of supervised learning algorithms based on applying Bayes’ theorem with the “naive” assumption of conditional independence... scikit learn 8 1 9 naive bayes 0 documentation https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/how-to/refresh/single-cluster/ Refresh a single cluster - Charmed MySQL 8.0 documentation How-to guides for upgrading and rolling back a single Charmed MySQL cluster, with step-by-step refresh and rollback procedures. cluster charmed mysql 8 0 documentation refresh single https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/reference/release-notes/k8s/revision-113/ Revision 113 - Charmed MySQL 8.0 documentation Release notes for Charmed MySQL K8s revision 113 (MySQL 8.0.34): profile-limit-memory config option, log rotation for error and slow query logs, secret labels. charmed mysql 8 0 documentation revision 113 https://scikit-learn.org/stable/auto_examples/tree/plot_unveil_tree_structure.html Understanding the decision tree structure — scikit-learn 1.8.0 documentation The decision tree structure can be analysed to gain further insight on the relation between the features and the target to predict. In this example, we show... scikit learn 1 8 0 documentation decision tree understanding structure https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/explanation/security/ Security hardening - Charmed MySQL 8.0 documentation Security hardening guide for Charmed MySQL covering cloud environments, Juju security, OS hardening, encryption, authentication, and monitoring. charmed mysql 8 security hardening 0 documentation https://scikit-learn.org/stable/about About us — scikit-learn 1.8.0 documentation History: This project was started in 2007 as a Google Summer of Code project by David Cournapeau. Later that year, Matthieu Brucher started working on this... scikit learn 1 8 0 documentation us https://scikit-learn.org/stable/auto_examples/cluster/index.html Clustering — scikit-learn 1.8.0 documentation Examples concerning the sklearn.cluster module. A demo of K-Means clustering on the handwritten digits data A demo of structured Ward hierarchical clustering... scikit learn 1 8 0 documentation clustering https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/reference/release-notes/k8s/revisions-399-401/ Revisions 399, 400, 401 - Charmed MySQL 8.0 documentation Release notes for Charmed MySQL K8s revisions 399–401 (MySQL 8.0.44): first s390x architecture support for amd64, arm64, and s390x. charmed mysql 8 0 documentation revisions 399 400 https://scikit-learn.org/stable/related_projects.html Related Projects — scikit-learn 1.8.0 documentation Projects implementing the scikit-learn estimator API are encouraged to use the scikit-learn-contrib template which facilitates best practices for testing and... scikit learn 1 8 0 documentation related projects https://scikit-learn.org/stable/modules/feature_extraction.html 7.2. Feature extraction — scikit-learn 1.8.0 documentation The sklearn.feature_extraction module can be used to extract features in a format supported by machine learning algorithms from datasets consisting of formats... scikit learn 1 8 0 documentation 7 2 feature extraction https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/how-to/monitoring/enable-monitoring/ How to enable monitoring (COS) - Charmed MySQL 8.0 documentation Integrate Charmed MySQL with COS Lite (Grafana, Prometheus, Loki) for observability via cross-model offers and Juju integrations. charmed mysql 8 0 documentation enable monitoring cos https://scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_weighted_samples.html SGD: Weighted samples — scikit-learn 1.8.0 documentation Plot decision function of a weighted dataset, where the size of points is proportional to its weight. Total running time of the script:(0 minutes 0.042... scikit learn 1 8 0 documentation sgd weighted samples https://scikit-learn.org/stable/auto_examples/model_selection/plot_cv_indices.html Visualizing cross-validation behavior in scikit-learn — scikit-learn 1.8.0 documentation Choosing the right cross-validation object is a crucial part of fitting a model properly. There are many ways to split data into training and test sets in... 1 8 0 cross validation scikit learn visualizing behavior https://scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html Two-class AdaBoost — scikit-learn 1.8.0 documentation This example fits an AdaBoosted decision stump on a non-linearly separable classification dataset composed of two “Gaussian quantiles” clusters (see... scikit learn 1 8 0 documentation two class https://scikit-learn.org/stable/modules/cross_validation.html 3.1. Cross-validation: evaluating estimator performance — scikit-learn 1.8.0 documentation Learning the parameters of a prediction function and testing it on the same data is a methodological mistake: a model that would just repeat the labels of the... scikit learn 8 3 1 cross validation 0 documentation evaluating https://sphinx-autoapi.readthedocs.io/en/latest/ Sphinx AutoAPI 3.8.0 documentation 3 8 0 sphinx documentation https://www.mindspore.cn/docs/en/stable/api_python/mindspore.ops.html mindspore.ops | MindSpore 2.8.0 documentation | MindSpore 2 8 0 mindspore ops documentation https://www.mindspore.cn/docs/en/r2.8.0/note/api_mapping/pytorch_diff/AmazonReviewFull.html Differences with torchtext.datasets.AmazonReviewFull | MindSpore 2.8.0 documentation | MindSpore mindspore 2 8 0 documentation differences torchtext datasets https://www.mindspore.cn/docs/en/r2.8.0/api_python/mint/mindspore.mint.optim.Adam.html mindspore.mint.optim.Adam | MindSpore 2.8.0 documentation | MindSpore 2 8 0 mindspore mint optim adam documentation https://scikit-learn.org/stable/model_selection.html 3. Model selection and evaluation — scikit-learn 1.8.0 documentation Cross-validation: evaluating estimator performance- Computing cross-validated metrics, Cross validation iterators, A note on shuffling, Cross validation and... scikit learn 1 8 0 documentation 3 model selection evaluation https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/explanation/architecture/ Architecture - Charmed MySQL 8.0 documentation Understand the architecture of Charmed MySQL for VM and Kubernetes deployments, built on the charmed-mysql snap and MySQL InnoDB ClusterSet. charmed mysql 8 0 documentation architecture https://scikit-learn.org/stable/modules/biclustering.html 2.4. Biclustering — scikit-learn 1.8.0 documentation Biclustering algorithms simultaneously cluster rows and columns of a data matrix. These clusters of rows and columns are known as biclusters. Each determines a... scikit learn 1 8 0 documentation 2 4 https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/reference/release-notes/k8s/revision-127/ Revision 127 - Charmed MySQL 8.0 documentation Release notes for Charmed MySQL K8s revision 127 (MySQL 8.0.35): Juju 3.1.7+ compatibility and CA chain support for TLS encryption. charmed mysql 8 0 documentation revision 127 https://www.mindspore.cn/docs/en/r2.8.0/api_python/mint/mindspore.mint.log1p.html mindspore.mint.log1p | MindSpore 2.8.0 documentation | MindSpore 2 8 0 mindspore mint log1p documentation https://scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_strategies.html Demonstrating the different strategies of KBinsDiscretizer — scikit-learn 1.8.0 documentation This example presents the different strategies implemented in KBinsDiscretizer: ‘uniform’: The discretization is uniform in each feature, which means that the... scikit learn 1 8 0 documentation different strategies demonstrating https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/how-to/back-up-and-restore/configure-s3-radosgw/ Configure S3 for RadosGW - Charmed MySQL 8.0 documentation Configure the s3-integrator charm to use Ceph RadosGW S3-compatible storage for Charmed MySQL backups using the MinIO client. charmed mysql 8 0 documentation configure s3 https://scikit-learn.org/stable/install.html Installing scikit-learn — scikit-learn 1.8.0 documentation There are different ways to install scikit-learn: Install the latest official release. This is the best approach for most users. It will provide a stable... 1 8 0 scikit learn installing documentation https://scikit-learn.org/stable/faq Frequently Asked Questions — scikit-learn 1.8.0 documentation Here we try to give some answers to questions that regularly pop up on the mailing list. Table of Contents: About the project- What is the project name (a lot... frequently asked questions scikit learn 1 8 0 documentation https://scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.html Gradient Boosting regularization — scikit-learn 1.8.0 documentation Illustration of the effect of different regularization strategies for Gradient Boosting. The example is taken from Hastie et al 2009 1. The loss function used... scikit learn 1 8 0 documentation gradient boosting regularization https://scikit-learn.org/stable/modules/preprocessing_targets.html 7.9. Transforming the prediction target (y) — scikit-learn 1.8.0 documentation Transforming the prediction target ( y): These are transformers that are not intended to be used on features, only on supervised learning targets. See also... scikit learn 1 8 0 documentation 7 9 transforming prediction https://scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_digits.html Recursive feature elimination — scikit-learn 1.8.0 documentation This example demonstrates how Recursive Feature Elimination ( RFE) can be used to determine the importance of individual pixels for classifying handwritten... scikit learn 1 8 0 documentation recursive feature elimination https://www.mindspore.cn/mindformers/docs/en/r1.8.0/feature/training_hyperparameters.html Training Hyperparameters | MindSpore Transformers 1.8.0 documentation | MindSpore mindspore transformers 1 8 0 documentation training hyperparameters https://scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_model_selection.html Lasso model selection: AIC-BIC / cross-validation — scikit-learn 1.8.0 documentation This example focuses on model selection for Lasso models that are linear models with an L1 penalty for regression problems. 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Strategies to scale computationally: bigger data — scikit-learn 1.8.0 documentation For some applications the amount of examples, features (or both) and/or the speed at which they need to be processed are challenging for traditional... scikit learn 8 9 1 0 documentation strategies scale https://www.mindspore.cn/docs/en/r2.8.0/api_python/mint/mindspore.mint.square.html mindspore.mint.square | MindSpore 2.8.0 documentation | MindSpore 2 8 0 mindspore mint square documentation https://scikit-learn.org/stable/auto_examples/model_selection/index.html Model Selection — scikit-learn 1.8.0 documentation Examples related to the sklearn.model_selection module. 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Visualizations — scikit-learn 1.8.0 documentation Scikit-learn defines a simple API for creating visualizations for machine learning. The key feature of this API is to allow for quick plotting and visual... scikit learn 1 8 0 documentation 6 visualizations https://www.mindspore.cn/mindformers/docs/en/stable/feature/training_function.html Training Function | MindSpore Transformers 1.8.0 documentation | MindSpore mindspore transformers 1 8 0 documentation training function https://docs.buildbot.net/2.8.0/tutorial/index.html 1. 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Data generation: The function make_blobs... scikit learn 1 8 0 documentation demonstration means assumptions https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/reference/release-notes/vm/ Release notes (VM) - Charmed MySQL 8.0 documentation Overview of all stable Charmed MySQL VM charm revisions with MySQL versions, Juju requirements, and supported features per release. charmed mysql 8 release notes 0 documentation vm https://scikit-learn.org/stable/auto_examples/model_selection/plot_likelihood_ratios.html Class Likelihood Ratios to measure classification performance — scikit-learn 1.8.0 documentation This example demonstrates the class_likelihood_ratios function, which computes the positive and negative likelihood ratios ( LR+, LR-) to assess the predictive... scikit learn 1 8 0 documentation class likelihood ratios https://www.mindspore.cn/docs/en/r2.8.0/api_python/mint/mindspore.mint.nn.functional.softshrink.html mindspore.mint.nn.functional.softshrink | MindSpore 2.8.0 documentation | MindSpore mindspore mint nn 2 8 0 functional documentation https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/explanation/logs/audit-logs/ Audit logs - Charmed MySQL 8.0 documentation Understand how the Audit Log plugin works in Charmed MySQL, including output samples, storage paths, rotation frequency, and configuration options. charmed mysql 8 audit logs 0 documentation https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/how-to/cluster-cluster-replication/recovery/ Recovery - Charmed MySQL 8.0 documentation Recover a Charmed MySQL ClusterSet from failure scenarios including detached clusters, lost clusters, and invalidated replication states. charmed mysql 8 0 documentation recovery https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/reference/release-notes/vm/revision-151/ Revision 151 - Charmed MySQL 8.0 documentation Release notes for Charmed MySQL VM revision 151 (MySQL 8.0.32): first stable VM release with HA, S3 backups, TLS, and LXD/MAAS support. charmed mysql 8 0 documentation revision 151 https://agda.readthedocs.io/en/v2.8.0-r3/language/copatterns.html Copatterns — Agda 2.8.0 documentation agda 2 8 0 documentation https://scikit-learn.org/stable/modules/preprocessing.html 7.3. Preprocessing data — scikit-learn 1.8.0 documentation The sklearn.preprocessing package provides several common utility functions and transformer classes to change raw feature vectors into a representation that is... scikit learn 1 8 0 documentation 7 3 preprocessing data https://canonical-charmed-mysql.readthedocs-hosted.com/8.0/how-to/refresh/single-cluster/refresh-single-cluster/ How to refresh a single cluster - Charmed MySQL 8.0 documentation Upgrade a single Charmed MySQL cluster using juju refresh, with pre-upgrade checks, revision recording, optional K8s scale-up, and health verification. cluster charmed mysql 8 0 documentation refresh single https://agda.readthedocs.io/en/v2.8.0-r3/tools/compilers.html Compilers — Agda 2.8.0 documentation agda 2 8 0 documentation compilers https://scikit-learn.org/stable/testimonials/testimonials.html Testimonials — scikit-learn 1.8.0 documentation Who is using scikit-learn?: J.P.Morgan: Scikit-learn is an indispensable part of the Python machine learning toolkit at JPMorgan. 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Clustering — scikit-learn 1.8.0 documentation Clustering of unlabeled data can be performed with the module sklearn.cluster. Each clustering algorithm comes in two variants: a class, that implements the... scikit learn 1 8 0 documentation 2 3 clustering https://scikit-learn.org/stable/model_persistence.html 10. 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