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Model Selection — scikit-learn 1.7.1 documentation
Examples related to the sklearn.model_selection module. Balance model complexity and cross-validated score Class Likelihood Ratios to measure classification performance Comparing randomized search ...scikit-learn.org/stable/auto_examples/model_selection/index.html -
Isotonic Regression — scikit-learn 1.7.1 docume...
An illustration of the isotonic regression on generated data (non-linear monotonic trend with homoscedastic uniform noise). The isotonic regression algorithm finds a non-decreasing approximation of...scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html -
Sparse inverse covariance estimation — scikit-l...
RandomState ( 1 ) prec = make_sparse_spd_matrix...): plt . subplot ( 2 , 4 , i + 1 ) plt . imshow ( this_cov , interpolation...scikit-learn.org/stable/auto_examples/covariance/plot_sparse_cov.html -
RegressorTags — scikit-learn 1.7.1 documentation
n_informative=1, bias=5.0, noise=20, random_state=42)...scikit-learn.org/stable/modules/generated/sklearn.utils.RegressorTags.html -
NotFittedError — scikit-learn 1.7.1 documentation
predict ([[ 1 , 2 ], [ 2 , 3 ], [ 3 , 4 ]])...scikit-learn.org/stable/modules/generated/sklearn.exceptions.NotFittedError.html -
1. Supervised learning — scikit-learn 1.7.1 doc...
version 1. Supervised learning # 1.1. Linear Models 1.1.1. Ordinary...Lasso 1.1.4. Multi-task Lasso 1.1.5. Elastic-Net 1.1.6. Multi-task...scikit-learn.org/stable/supervised_learning.html -
Bunch — scikit-learn 1.7.1 documentation
import Bunch >>> b = Bunch ( a = 1 , b = 2 ) >>> b [ 'b' ] 2 >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html -
Testimonials — scikit-learn 1.7.1 documentation
Group # Scikit-learn is our #1 toolkit for all things machine...used for originating at least 1 billion GBP worth of Zopa loans....scikit-learn.org/stable/testimonials/testimonials.html -
TfidfTransformer — scikit-learn 1.7.1 documenta...
array([[1, 1, 1, 1, 0, 1, 0, 0], [1, 2, 0, 1, 1, 1, 0, 0], [1, 0,...0, 0, 1, 0, 1, 1, 1], [1, 1, 1, 1, 0, 1, 0, 0]]) >>> pipe [ 'tfid'...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html -
compute_sample_weight — scikit-learn 1.7.1 docu...
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}] . The "balanced" mode uses...scikit-learn.org/stable/modules/generated/sklearn.utils.class_weight.compute_sample_weight.html