How to use the dython.model_utils.roc_graph function in dython
To help you get started, we’ve selected a few dython examples, based on popular ways it is used in public projects.
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shakedzy / dython / dython / examples.py View on Github 
"""
Plot an example ROC graph of an SVM model predictions over the Iris dataset.
Based on sklearn examples (as was seen on April 2018):
http://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html
"""
iris = datasets.load_iris()
X = iris.data
y = label_binarize(iris.target, classes=[0, 1, 2])
random_state = np.random.RandomState(0)
n_samples, n_features = X.shape
X = np.c_[X, random_state.randn(n_samples, 200 * n_features)]
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=.5, random_state=0)
classifier = OneVsRestClassifier(svm.SVC(kernel='linear', probability=True, random_state=random_state))
y_score = classifier.fit(X_train, y_train).decision_function(X_test)
roc_graph(y_test, y_score)
