Functions | |
| def | graph_3d (test, y_pred_test) |
| def | reduce_graph_3d (data, preds) |
Variables | |
| clf_ocsvm17 = svm.OneClassSVM(nu=0.05, kernel="rbf", gamma=1000) | |
| clf_ocsvm18 = svm.OneClassSVM(nu=0.06, kernel="rbf", gamma=1100) | |
| clf_rbfsvm1 = svm.SVC(kernel='rbf', gamma=150, C=100000) | |
| fit_file = local["Files"]["fit_file"] | |
| input_file = sys.argv[1] | |
| interface = Interface(input_file) | |
| local = yaml.load(fil) | |
| s_preds | |
| list | supervised_models = [] |
| supervised_train_file = local["Files"]["supervised_train"] | |
| testing_file = local["Files"]["testing"] | |
| u_preds | |
| list | unsupervised_models = [] |
| unsupervised_train_file = local["Files"]["unsupervised_train"] | |
| x | |
| y | |
Ensemble Anomaly Detector Framework
Author:
Vedanth Narayanan
File:
Example of training script for ROS module
Date:
14 May, 2018 | run.clf_ocsvm17 = svm.OneClassSVM(nu=0.05, kernel="rbf", gamma=1000) |
| run.clf_ocsvm18 = svm.OneClassSVM(nu=0.06, kernel="rbf", gamma=1100) |
| run.interface = Interface(input_file) |
| run.supervised_train_file = local["Files"]["supervised_train"] |
| run.unsupervised_train_file = local["Files"]["unsupervised_train"] |