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Neural Networks — scikit-learn 1.5.2 documentation
Examples concerning the sklearn.neural_network module. Compare Stochastic learning strategies for MLPClassifier Restricted Boltzmann Machine features for digit classification Varying regularization...scikit-learn.org/stable/auto_examples/neural_networks/index.html -
The Digit Dataset — scikit-learn 1.5.2 document...
This dataset is made up of 1797 8x8 images. Each image, like the one shown below, is of a hand-written digit. In order to utilize an 8x8 figure like this, we’d have to first transform it into a fea...scikit-learn.org/stable/auto_examples/datasets/plot_digits_last_image.html -
is_regressor — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub is_regressor # sklearn.base. is_regressor ( estimator ) [source] # R...scikit-learn.org/stable/modules/generated/sklearn.base.is_regressor.html -
Feature agglomeration — scikit-learn 1.5.2 docu...
These images show how similar features are merged together using feature agglomeration. Total running time of the script:(0 minutes 0.187 seconds) Launch binder Launch JupyterLite Download Jupyter ...scikit-learn.org/stable/auto_examples/cluster/plot_digits_agglomeration.html -
Manifold learning — scikit-learn 1.5.2 document...
Examples concerning the sklearn.manifold module. Comparison of Manifold Learning methods Manifold Learning methods on a severed sphere Manifold learning on handwritten digits: Locally Linear Embedd...scikit-learn.org/stable/auto_examples/manifold/index.html -
weighted_mode — scikit-learn 1.5.2 documentation
2 , 4 , 2 ] >>> weights = [ 1 , 1 ,...weights ) (array([2.]), array([3.5])) The value 2 has the highest...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.weighted_mode.html -
Version 0.18 — scikit-learn 1.5.2 documentation
will require Python 2.7 or above. Version 0.18.2 # June 20, 2017...scikit-learn to support Python 2.6. Later versions of scikit-learn...scikit-learn.org/stable/whats_new/v0.18.html -
Comparison of F-test and mutual information — s...
x_2, x_3 distributed uniformly over...follows: y = x_1 + sin(6 * pi * x_2) + 0.1 * N(0, 1), that is the...scikit-learn.org/stable/auto_examples/feature_selection/plot_f_test_vs_mi.html -
Visualizing the stock market structure — scikit...
2.7825594 , 5.27499706, 10. ]))...0.40842387, 0.77426368, 1.46779927, 2.7825594 , 5.27499706, 10. ]))...scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html -
3.3. Tuning the decision threshold for class pr...
DecisionTreeClassifi ( max_depth = 2 , random_state = 0 ) . fit ( X...model . best_score_ 0.86... 3.3.1.2. Important notes regarding the...scikit-learn.org/stable/modules/classification_threshold.html