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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 -
Installing the development version of scikit-le...
8 A C/C++ compiler and a matching OpenMP...instructions to install a working C/C++ compiler with OpenMP support...scikit-learn.org/stable/developers/advanced_installation.html -
sklearn.linear_model.LogisticRegressionCV — sci...
the best C is the average of the C’s that correspond...folds, and the coefs and the C that corresponds to the best score...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html -
Universal Profiling - continuous profiling that...
www.elastic.co/observability/universal-profiling -
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 -
linear_model.rst.txt
``C`` is given by ``alpha = 1 / C`` or ``alpha =...:func:`sklearn.svm.l1_min_c` allows to calculate the lower bound for C in order...scikit-learn.org/stable/_sources/modules/linear_model.rst.txt -
sklearn.calibration.CalibratedClassifierCV — sc...
Zadrozny & C. Elkan, ICML 2001 [ 2 ] Transforming...Probability Estimates, B. Zadrozny & C. Elkan, (KDD 2002) [ 3 ] Probabilistic...scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html -
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 -
3.4. Validation curves: plotting scores to eval...
param_name = "C" , param_range = np . logspace..."linear" ), X , y , param_name = "C" , param_range = np . logspace...scikit-learn.org/stable/modules/learning_curve.html -
auto_examples_jupyter.zip
0\")\n c = Tk.Frame(valbox)\n Tk.Label(c, text=\"C:\", anchor=\"e\",...for i, c in enumerate(centers):\n ax2.scatter(c[0], c[1], marker=\"$%d$\"...scikit-learn.org/stable/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip