- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 11 - 20 of 23 for ' (0.03 sec)
-
install.rst.txt
latest-and-greatest features and aren't afraid of running brand-new code....Linux ---------- Alpine Linux's package is provided through the...scikit-learn.org/stable/_sources/install.rst.txt -
v1.3.rst.txt
Ridge models with `solver='sparse_cg'` may have slightly different...values, following LightGBM's and pandas' conventions. :pr:`25629`...scikit-learn.org/stable/_sources/whats_new/v1.3.rst.txt -
related_projects.rst.txt
functionality of scikit-learn's estimators. **Data formats**...maintained by Intel(R) and scikit-learn's maintainers are not involved...scikit-learn.org/stable/_sources/related_projects.rst.txt -
preprocessing.rst.txt
['female', 'Europe', 'Firefox'], ... ['female', 'Asia', 'Chrome']]...X = [['male', 'from US', 'uses Safari'], ['female', 'from Europe',...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
grid_search.rst.txt
= [ {'C': [1, 10, 100, 1000], 'kernel': ['linear']}, {'C': [1,...e=.1), 'kernel': ['rbf'], 'class_weight':['balanced', None]}...scikit-learn.org/stable/_sources/modules/grid_search.rst.txt -
glossary.rst.txt
of ['no', 'yes'], 'yes' is the positive class; of ['no', 'YES'],...... param_grid={'loss': ['log_loss', 'hinge']}) This means that...scikit-learn.org/stable/_sources/glossary.rst.txt -
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