84a07345139c217c5f77479bd3a129f61a35af27,examples/sklearn_example.py,,,#,20

Before Change

// Load data set and target values
data = load_iris()["data"]
target = load_iris()["target"]

// LogisticRegression CV
def LR_CV(c, ints, kf):

After Change

from bayes_opt import BayesianOptimization

// Load data set and target values
data, target = make_classification(n_samples=2500,
                                   n_features=45,
                                   n_informative=12,
                                   n_redundant=7)

def svccv(C, gamma):
    return cross_val_score(SVC(C=C, gamma=gamma, random_state=2),
                           data, target, "f1", cv=5).mean()

Instances