def run_rf_cross(options):
global filename_full, filename1, filename2, testName
jvm_helper = classify.cw3_helper()
mlp = classify.cw3_classifier()
mlp.load_data(filename_full)
mlp.run_crossval("results/" + str(testName), "Random Forest",
"weka.classifiers.trees.RandomForest", options)
def run_j48_cross(options):
global filename1, filename2, testName
jvm_helper = classify.cw3_helper()
j48_cross = classify.cw3_classifier()
j48_cross.load_data_seperate(filename1, filename2)
j48_cross.run_crossval("results/" + str(testName), "J48",
"weka.classifiers.trees.J48", options)
def run_rf_split(options):
global filename_full, filename1, filename2, testName
jvm_helper = classify.cw3_helper()
mlp = classify.cw3_classifier()
# mlp.load_data_seperate(filename1,filename2)
mlp.load_data_split(filename_full, 30)
mlp.run_split("results/" + str(testName), "Random Forest",
"weka.classifiers.trees.RandomForest", options)
def run_mlp_split(options):
global filename_full, filename1, filename2, testName
jvm_helper = classify.cw3_helper()
mlp = classify.cw3_classifier()
mlp.load_data_split(filename_full, 30)
# mlp.load_data_seperate(filename1,filename2)
mlp.run_split("results/" + str(testName), "MLP",
"weka.classifiers.functions.MultilayerPerceptron", options)
def run_j48_holdout(options):
global filename_full, filename1, filename2, testName
jvm_helper = classify.cw3_helper()
j48_cross = classify.cw3_classifier()
# j48_cross.load_data_seperate(filename1,filename2)
j48_cross.load_data_split(filename_full, 30)
j48_cross.run_split("results/" + str(testName), "J48",
"weka.classifiers.trees.J48", options)