svm_ROC Namespace Reference

Variables
list	all_tpr = []
tuple	classifier = svm.SVC(probability=True)
tuple	cv = StratifiedKFold(y, k=9)
	Code below modified from http://scikit-learn.org/stable/auto_examples/plot_roc_crossval.html#example-plot-roc-crossval-py.
list	data = svm_data['data']
tuple	data_scaled = scaler.transform(data)
string	label = 'Mean ROC (area = %0.2f)'
list	labels = svm_data['labels']
tuple	mean_auc = auc(mean_fpr, mean_tpr)
tuple	mean_fpr = np.linspace(0, 1, n_samples)
float	mean_tpr = 0.0
tuple	probas_ = classifier.fit(X[train], y[train])
tuple	roc_auc = auc(fpr, tpr)
tuple	scaler = pps.Scaler()
tuple	svm_data = pickle.load(f)

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Variable Documentation

list svm_ROC::all_tpr = []

Definition at line 42 of file svm_ROC.py.

tuple svm_ROC::classifier = svm.SVC(probability=True)

Definition at line 22 of file svm_ROC.py.

tuple svm_ROC::cv = StratifiedKFold(y, k=9)

Code below modified from http://scikit-learn.org/stable/auto_examples/plot_roc_crossval.html#example-plot-roc-crossval-py.

Classification and ROC analysis Run classifier with crossvalidation and plot ROC curves

Definition at line 38 of file svm_ROC.py.

list svm_ROC::data = svm_data['data']

Definition at line 15 of file svm_ROC.py.

tuple svm_ROC::data_scaled = scaler.transform(data)

Definition at line 20 of file svm_ROC.py.

string svm_ROC::label = 'Mean ROC (area = %0.2f)'

Definition at line 59 of file svm_ROC.py.

list svm_ROC::labels = svm_data['labels']

Definition at line 14 of file svm_ROC.py.

tuple svm_ROC::mean_auc = auc(mean_fpr, mean_tpr)

Definition at line 57 of file svm_ROC.py.

tuple svm_ROC::mean_fpr = np.linspace(0, 1, n_samples)

Definition at line 41 of file svm_ROC.py.

float svm_ROC::mean_tpr = 0.0

Definition at line 40 of file svm_ROC.py.

tuple svm_ROC::probas_ = classifier.fit(X[train], y[train])

Definition at line 45 of file svm_ROC.py.

tuple svm_ROC::roc_auc = auc(fpr, tpr)

Definition at line 50 of file svm_ROC.py.

tuple svm_ROC::scaler = pps.Scaler()

Definition at line 17 of file svm_ROC.py.

tuple svm_ROC::svm_data = pickle.load(f)

Definition at line 13 of file svm_ROC.py.