- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 1191 - 1200 of 2,977 for 1 (0.48 sec)
-
get_data_home — scikit-learn 1.7.2 documentation
Gallery examples: Out-of-core classification of text documentsscikit-learn.org/stable/modules/generated/sklearn.datasets.get_data_home.html -
sklearn.neural_network — scikit-learn 1.7.2 doc...
Models based on neural networks. User guide. See the Neural network models (supervised) and Neural network models (unsupervised) sections for further details.scikit-learn.org/stable/api/sklearn.neural_network.html -
7.8. Pairwise metrics, Affinities and Kernels —...
for choosing gamma is 1 / num_features S = 1. / (D / np.max(D))...>>> Y = np . array ([[ 1 , 0 ], [ 2 , 1 ]]) >>> pairwise_distances...scikit-learn.org/stable/modules/metrics.html -
3.3. Tuning the decision threshold for class pr...
1, 1]) While these hard-coded rules...case an insurance company). 3.3.1.1. Options to tune the decision...scikit-learn.org/stable/modules/classification_threshold.html -
超カンタン！1日1～2回水をかけて大量収穫できる「しいたけ栽培キット」にハマった【Amazon...
1日1～2回水をかけて大量収穫できる「しいたけ栽培キット」にハマった【Amazonセール】...栽培容器に入れたら、後は直射日光の当たらないところに置いて、1日1～2回程度、霧吹きで水をかけるだけ。 めっちゃ簡単！ 【栽培2日目】...www.buzzfeed.com/jp/buzzfeedjapanshopping/morinokinoko-202510 -
In Fess make Apache Solr based search Server-Mo...
1.0. About how to build a Fess Introduction...Windows 7 (Service Pack1) JDK 1.7.0_21 Mobile Terminal for Fess...fess.codelibs.org/articles/article-2.html -
Decision boundary of semi-supervised classifier...
= { - 1 : ( 1 , 1 , 1 ), 0 : ( 0 , 0 , 0.9 ), 1 : ( 1 , 0 , 0...() - 1 , X [:, 0 ] . max () + 1 y_min , y_max = X [:, 1 ] . min...scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_versus_svm_iris.html -
Decision Boundaries of Multinomial and One-vs-R...
1.5 ], [ 5 , - 1 ]] X , y = make_blobs ( n_samples = 1_000...centered around [-5, 0], [0, 1.5], and [5, -1]. After generation, we...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_multinomial.html -
2.9. Neural network models (unsupervised) — sci...
\[\sigma(x) = \frac{1}{1 + e^{-x}}\] 2.9.1.3. Stochastic Maximum...for digit classification 2.9.1.1. Graphical model and parametrization...scikit-learn.org/stable/modules/neural_networks_unsupervised.html -
9.3. Parallelism, resource management, and conf...
1.1. Higher-level parallelism with...management, and configuration # 9.3.1. Parallelism # Some scikit-learn...scikit-learn.org/stable/computing/parallelism.html