- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 31 - 40 of 414 for c (0.06 sec)
-
sklearn.naive_bayes.MultinomialNB — scikit-lear...
References C.D. Manning, P. Raghavan and H....The input samples. Returns : C ndarray of shape (n_samples,)...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html -
sklearn.datasets.make_multilabel_classification...
choose a class c: c ~ Multinomial(theta) pick the...a word: w ~ Multinomial(theta_c) In the above process, rejection...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_multilabel_classification.html -
cross_validation.rst.txt
"c", "c", "c", "d", "d", "d"] >>> groups...= ["a", "b", "b", "b", "c", "c", "c", "a"] >>> groups = [1, 1,...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
auto_examples_python.zip
0") c = Tk.Frame(valbox) Tk.Label(c, text="C:", anchor="e",...print("Class", "P(C)", "P(w0|C)", "P(w1|C)", sep="\t") for k,...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
Supervised learning: predicting an output varia...
c_ [ .5 , 1 ] . T >>> y = [ .5 , 1 ] >>> test = np . c_ [...is set by the C parameter: a small value for C means the margin...scikit-learn.org/stable/tutorial/statistical_inference/supervised_learning.html -
Universal Profiling - continuous profiling that...
C/C++, Node.js/V8, Ruby, Perl and...www.elastic.co/observability/universal-profiling -
3.2. Tuning the hyper-parameters of an estimato...
Typical examples include C , kernel and gamma for Support...param_grid : param_grid = [ { 'C' : [ 1 , 10 , 100 , 1000 ], 'kernel'...scikit-learn.org/stable/modules/grid_search.html -
sklearn.linear_model.HuberRegressor — scikit-le...
the samples where |(y - Xw - c) / sigma| < epsilon and the absolute...the samples where |(y - Xw - c) / sigma| > epsilon , where the...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
sklearn.svm.LinearSVC — scikit-learn 1.4.2 docu...
the parameter C of class i to class_weight[i]*C for SVC. If not...dual = 'warn' , tol = 0.0001 , C = 1.0 , multi_class = 'ovr' ,...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html -
6.7. Kernel Approximation — scikit-learn 1.4.2 ...
\prod_i \frac{2\sqrt{x_i+c}\sqrt{y_i+c}}{x_i + y_i + 2c}\] It has...free parameter, that is called \(c\) . For a motivation for this...scikit-learn.org/stable/modules/kernel_approximation.html