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plot_classifier_comparison.ipynb
C=0.025, random_state=42),\n SVC(gamma=2, C=1, random_state=42),\n...ax.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors=\"k\")\n...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb -
10 PRINT "HELLO METAFILTER"; 20 GOTO 10 | MetaF...
-> Java -> C++ & HLSL & C# (third job) -> C++ & C#, and sometimes...that did nothing in C. Includes? main? return? C'mon, just give me...www.metafilter.com/203575/10-PRINT-HELLO-METAFILTER-20-GOTO-10 -
SVR — scikit-learn 1.5.0 documentation
C = 1.0 , epsilon = 0.1 , shrinking...free parameters in the model are C and epsilon. The implementation...scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html -
plot_classifier_comparison.py
C=0.025, random_state=42), SVC(gamma=2, C=1, random_state=42),...ax.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors="k")...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
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 -
make_multilabel_classification — scikit-learn 1...
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 -
Beyond the trace: Pinpointing performance culpr...
with is to load and call into a C++ library that is responsible...storage (TLS) Starting with C11 and C++11, both languages support thread...www.elastic.co/observability-labs/blog/continuous-profiling-distributed-tracing-correlation -
MultinomialNB — scikit-learn 1.5.0 documentation
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 -
2.3. Clustering — scikit-learn 1.6.dev0 documen...
\sum_{q=1}^k n_q (c_q - c_E) (c_q - c_E)^T\] with \(C_q\) the set of...\[\begin{split}C = \left[\begin{matrix} C_{00} & C_{01} \\ C_{10} & C_{11}...scikit-learn.org/dev/modules/clustering.html -
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