Namespaces | Variables File Reference

Go to the source code of this file.


namespace  svm_ROC


list svm_ROC.all_tpr = []
tuple svm_ROC.classifier = svm.SVC(probability=True)
tuple = StratifiedKFold(y, k=9)
 Code below modified from
list = svm_data['data']
tuple svm_ROC.data_scaled = scaler.transform(data)
string svm_ROC.label = 'Mean ROC (area = %0.2f)'
list svm_ROC.labels = svm_data['labels']
tuple svm_ROC.mean_auc = auc(mean_fpr, mean_tpr)
tuple svm_ROC.mean_fpr = np.linspace(0, 1, n_samples)
float svm_ROC.mean_tpr = 0.0
tuple svm_ROC.probas_ =[train], y[train])
tuple svm_ROC.roc_auc = auc(fpr, tpr)
tuple svm_ROC.scaler = pps.Scaler()
tuple svm_ROC.svm_data = pickle.load(f)

Author(s): Phillip M. Grice, Advisor: Prof. Charlie Kemp, Lab: The Healthcare Robotoics Lab at Georgia Tech.
autogenerated on Wed Nov 27 2013 11:57:42