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  1. 10. 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
    Sat Nov 23 04:49:14 UTC 2024
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  2. SGD: Maximum margin separating hyperplane — sci...

    Plot the maximum margin separating hyperplane within a two-class separable dataset using a linear Support Vector Machines classifier trained using SGD. Total running time of the script:(0 minutes 0...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_separating_hyperplane.html
    Sat Nov 23 04:49:15 UTC 2024
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  3. Various Agglomerative Clustering on a 2D embedd...

    An illustration of various linkage option for agglomerative clustering on a 2D embedding of the digits dataset. The goal of this example is to show intuitively how the metrics behave, and not to fi...
    scikit-learn.org/stable/auto_examples/cluster/plot_digits_linkage.html
    Sat Nov 23 04:49:16 UTC 2024
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  4. Plot classification boundaries with different S...

    This example shows how different kernels in a SVC(Support Vector Classifier) influence the classification boundaries in a binary, two-dimensional classification problem. SVCs aim to find a hyperpla...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_kernels.html
    Sat Nov 23 04:49:16 UTC 2024
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  5. Face completion with a multi-output estimators ...

    This example shows the use of multi-output estimator to complete images. The goal is to predict the lower half of a face given its upper half. The first column of images shows true faces. The next ...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html
    Sat Nov 23 04:49:16 UTC 2024
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  6. Faster integration tests with real Elasticsearc...

    a naive loop that indexes documents one by one (as in the main...client.index(i -> i.index("books").document(book)); hasNext = it.hasNextValue();...
    www.elastic.co/search-labs/blog/automated-integration-tests-faster-elasticsearch
    Mon Nov 18 00:30:39 UTC 2024
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  7. Comparing different hierarchical linkage method...

    This example shows characteristics of different linkage methods for hierarchical clustering on datasets that are “interesting” but still in 2D. The main observations to make are: single linkage is ...
    scikit-learn.org/stable/auto_examples/cluster/plot_linkage_comparison.html
    Sat Nov 23 04:49:16 UTC 2024
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  8. Detection error tradeoff (DET) curve — scikit-l...

    In this example, we compare two binary classification multi-threshold metrics: the Receiver Operating Characteristic (ROC) and the Detection Error Tradeoff (DET). For such purpose, we evaluate two ...
    scikit-learn.org/stable/auto_examples/model_selection/plot_det.html
    Sat Nov 23 04:49:16 UTC 2024
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  9. Comparing Nearest Neighbors with and without Ne...

    An example comparing nearest neighbors classification with and without Neighborhood Components Analysis. It will plot the class decision boundaries given by a Nearest Neighbors classifier when usin...
    scikit-learn.org/stable/auto_examples/neighbors/plot_nca_classification.html
    Sat Nov 23 04:49:15 UTC 2024
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  10. Plotting Learning Curves and Checking Models’ S...

    In this example, we show how to use the class LearningCurveDisplay to easily plot learning curves. In addition, we give an interpretation to the learning curves obtained for a naive Bayes and SVM c...
    scikit-learn.org/stable/auto_examples/model_selection/plot_learning_curve.html
    Sat Nov 23 04:49:16 UTC 2024
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