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"] |