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getting_started.rst.txt
param_distributions = {'n_estimators': randint(1, 5), ... 'max_depth': randint(5,...param_distributions={'max_depth': ..., 'n_estimators': ...}, random_state=0)...scikit-learn.org/stable/_sources/getting_started.rst.txt -
testimonials.rst.txt
I think it's the most well-designed ML package I've seen so far....in the lead's tenure on our site. Also, our users' profiles consist...scikit-learn.org/stable/_sources/testimonials/testimonials.rst.txt -
decomposition.rst.txt
Descent ('cd') [5]_, and Multiplicative Update ('mu') [6]_. The...optional parameter ``svd_solver='randomized'`` is very useful in that...scikit-learn.org/stable/_sources/modules/decomposition.rst.txt -
faq.rst.txt
need to specify algorithm='brute' as the default assumes >>>...eps=5, min_samples=2, algorithm='brute') # doctest: +SKIP (array([0,...scikit-learn.org/stable/_sources/faq.rst.txt -
clustering.rst.txt
Their 'sqrt' and 'sum' averages are the geometric...s(i, k) - max [ a(i, k') + s(i, k') \forall k' \neq k ] Where :math:`s(i,...scikit-learn.org/stable/_sources/modules/clustering.rst.txt -
roadmap.rst.txt
right now it's impossible to clone a `CalibratedClassifier`...scikit-learn.org/stable/_sources/roadmap.rst.txt -
neighbors.rst.txt
valid_metrics ['euclidean', 'l2', 'minkowski', 'p', 'manhattan', 'cityblock',...cs ['euclidean', 'l2', 'minkowski', 'p', 'manhattan', 'cityblock',...scikit-learn.org/stable/_sources/modules/neighbors.rst.txt -
ensemble.rst.txt
estimators=[('lr', clf1), ('rf', clf2), ('gnb', clf3)], ... voting='hard')...eclf], ['Logistic Regression', 'Random Forest', 'naive Bayes', 'Ensemble']):...scikit-learn.org/stable/_sources/modules/ensemble.rst.txt -
install.rst.txt
latest-and-greatest features and aren't afraid of running brand-new code....--version pip3 --version If you don't have Python 3 installed, please...scikit-learn.org/stable/_sources/install.rst.txt -
v1.4.rst.txt
value dtype with `casting='same_kind'`. :pr:`28365` by :user:`Leo...estimator's `fit`, the scorer, and the CV splitter's `split`....scikit-learn.org/stable/_sources/whats_new/v1.4.rst.txt