- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 181 - 190 of 1,564 for 10 (1.55 sec)
-
Powerball Jackpot Grows to $950 Million After N...
Medical Terms You Don’t Know 04:10 Matt Abdoo Shares 3 Summer Recipes...With These Delicious Toppings 04:10 Matt Abdoo Shares 3 Summer Recipes...www.today.com/video/powerball-jackpot-grows-to-950-million-after-no-winners-245963845851 -
Elastic Global Threat Report Infographic 2024 F...
www.elastic.co/pdf/elastic-gtr-2024-adversary-actions -
HistGradientBoostingRegressor — scikit-learn 1....
n_iter_no_change = 10 , tol = 1e-07 , verbose = 0 ,...for big datasets (n_samples >= 10 000). This estimator has native...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html -
3.1. Cross-validation: evaluating estimator per...
12 13 14] [ 2 3 10 15 16 17] [ 1 2 3 8 9 10 12 13 14 15 16 17]...training size in question, then 5 or 10-fold cross validation can overestimate...scikit-learn.org/stable/modules/cross_validation.html -
SimpleImputer — scikit-learn 1.7.2 documentation
[ 10 , 5 , 9 ]]) SimpleImputer() >>>...3 ], [ 4 , np . nan , 6 ], [ 10 , np . nan , 9 ]] >>> print (...scikit-learn.org/stable/modules/generated/sklearn.impute.SimpleImputer.html -
SpectralBiclustering — scikit-learn 1.7.2 docum...
n_init = 10 , random_state = None ) [source]...‘k-means++’. n_init int, default=10 Number of random initializations...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralBiclustering.html -
BuzzFeed
" Siena Giljum • 10 hours ago Quiz Choose 10 Courses Of All PINK...there." Benjamin Dzialdowski • 10 hours ago Play Video duration...www.buzzfeed.com/uk -
1.11. Ensembles: Gradient boosting, random fore...
import make_hastie_10_2 >>> X , y = make_hastie_10_2 ( random_state...n_estimators = 10 ) >>> clf = clf . fit ( X , y ) # fit with 10 trees...scikit-learn.org/stable/modules/ensemble.html -
load_iris — scikit-learn 1.7.2 documentation
are interested in the samples 10, 25, and 50, and want to know...load_iris () >>> data . target [[ 10 , 25 , 50 ]] array([0, 0, 1])...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html -
load_wine — scikit-learn 1.7.2 documentation
are interested in the samples 10, 80, and 140, and want to know...load_wine () >>> data . target [[ 10 , 80 , 140 ]] array([0, 1, 2])...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_wine.html