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SVM Margins Example — scikit-learn 1.8.0 ...
The plots below illustrate the effect the parameter C has on the separation line. A large value of C basically tells our model that we do not have that much faith in our data’s distribution, and wi...scikit-learn.org/stable/auto_examples/svm/plot_svm_margin.html -
Pipelines and composite estimators — scik...
Examples of how to compose transformers and pipelines from other estimators. See the User Guide. Column Transformer with Heterogeneous Data Sources Column Transformer with Mixed Types Concatenating...scikit-learn.org/stable/auto_examples/compose/index.html -
Post-hoc tuning the cut-off point of decision f...
Documentation for Pipeline i Not fitted...False StandardScaler ? Documentation for StandardScaler Parameters...scikit-learn.org/stable/auto_examples/model_selection/plot_tuned_decision_threshold.html -
ROC Curve with Visualization API — scikit...
Documentation for SVC i Fitted Parameters...with nbviewer.org. SVC ? Documentation for SVC i Fitted Parameters...scikit-learn.org/stable/auto_examples/miscellaneous/plot_roc_curve_visualization_api.html -
Plot individual and voting regression predictio...
Documentation for VotingRegressor i Fitted...GradientBoostingRegr ? Documentation for GradientBoostingRegr...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_regressor.html -
Examples based on real world datasets — s...
text documents Out-of-core classification of text documents Outlier...scikit-learn.org/stable/auto_examples/applications/index.html -
11. Common pitfalls and recommended practices &...
The purpose of this chapter is to illustrate some common pitfalls and anti-patterns that occur when using scikit-learn. It provides examples of what not to do, along with a corresponding correct ex...scikit-learn.org/stable/common_pitfalls.html -
7.1. Pipelines and composite estimators —...
To build a composite estimator, transformers are usually combined with other transformers or with predictors(such as classifiers or regressors). The most common tool used for composing estimators i...scikit-learn.org/stable/modules/compose.html -
scikit-learn: machine learning in Python —...
Skip to main content Back to top Ctrl + K scikit-learn Machine Learning in Python Getting Started Release Highlights ...scikit-learn.org/stable/index.html -
2.1. Gaussian mixture models — scikit-lea...
sklearn.mixture is a package which enables one to learn Gaussian Mixture Models (diagonal, spherical, tied and full covariance matrices supported), sample them, and estimate them from data. Facilit...scikit-learn.org/stable/modules/mixture.html