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min_pos — scikit-learn 1.6.1 documentation
- 1 , 2 , 3 , - 4 , 5 ]) >>> min_pos...scikit-learn.org/stable/modules/generated/sklearn.utils.arrayfuncs.min_pos.html -
plot_release_highlights_1_6_0.py
1, 6, np.nan]).reshape(-1, 1) y = [0, 0, 1, 1] forest...Release Highlights for scikit-learn 1.6 ========== .. currentmodule::...scikit-learn.org/stable/_downloads/a471e25495d24d0086e798aa9ca44a89/plot_release_highlights_1_6_0.py -
fetch_20newsgroups_vectorized — scikit-learn 1....
Added in version 1.5. delay float, default=1.0 Number of seconds...False , n_retries = 3 , delay = 1.0 ) [source] # Load and vectorize...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups_vectorized.html -
get_scorer — scikit-learn 1.7.0 documentation
1 , - 1 , - 0.5 , 2 ], ( - 1 , 1 )) >>> y = np...np . array ([ 0 , 1 , 1 , 0 , 1 ]) >>> classifier = DummyClassifier...scikit-learn.org/stable/modules/generated/sklearn.metrics.get_scorer.html -
Release Highlights for scikit-learn 1.7 — sciki...
hts_1_7_0.py Download zipped: plot_release_highlights_1_7_0.zip...scikit-learn 1.6 Release Highlights for scikit-learn 1.6 Release...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_7_0.html -
f_regression — scikit-learn 1.7.0 documentation
r_regression values lie in [-1, 1] and can thus be negative. f_regression...set to 0.0 . Added in version 1.1. Returns : f_statistic ndarray...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_regression.html -
Version 1.4 — scikit-learn 1.7.0 documentation
Version 1.4.1 # February 2024 Changed models...deprecated in version 1.4 and will be removed in version 1.6. Use the default...scikit-learn.org/stable/whats_new/v1.4.html -
Comparing various online solvers — scikit-learn...
tol = 1e-1 , C = 1.0e4 / X . shape [ 0 ]), ), ] xx = 1.0 - np ....= 110 , loss = "hinge" , C = 1.0 , tol = 1e-4 ), ), ( "Passive-Aggressive...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_comparison.html -
cosine_similarity — scikit-learn 1.7.0 document...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.cosine_similarity.html -
as_float_array — scikit-learn 1.6.1 documentation
nan Deprecated since version 1.6: force_all_finite was renamed...ensure_all_finite and will be removed in 1.8. ensure_all_finite bool or ‘allow-nan’,...scikit-learn.org/stable/modules/generated/sklearn.utils.as_float_array.html