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Idiomatic persistence for Java and relational databases.
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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...
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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.
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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...
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https://docs.soliditylang.org/en/v0.8.35-pre.1/genindex.html
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Release Highlights for scikit-learn 1.8 — scikit-learn 1.8.0 documentation
We are pleased to announce the release of scikit-learn 1.8! Many bug fixes and improvements were added, as well as some key new features. Below we detail the...
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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...
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1.9. Naive Bayes — scikit-learn 1.8.0 documentation
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How-to guides for upgrading and rolling back a single Charmed MySQL cluster, with step-by-step refresh and rollback procedures.
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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...
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Security hardening guide for Charmed MySQL covering cloud environments, Juju security, OS hardening, encryption, authentication, and monitoring.
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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...
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13.8. 区域卷积神经网络(R-CNN)系列 — 动手学深度学习 2.0.0 documentation
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Migrating to Shapely 1.8 / 2.0 — Shapely 2.1.2 documentation
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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...
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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.
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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...
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The sklearn.feature_extraction module can be used to extract features in a format supported by machine learning algorithms from datasets consisting of formats...
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5.77. Release Notes for Buildbot v0.8.7 — Buildbot 3.0.1 documentation
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Version 0.8.0 (June 29, 2012) — pandas 3.0.2 documentation
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Zotero is a free, easy-to-use tool to help you collect, organize, cite, and share research.
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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...
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This example fits an AdaBoosted decision stump on a non-linearly separable classification dataset composed of two “Gaussian quantiles” clusters (see...
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