def run_ibk_crossval(args):
global filename, testName
jvm_helper = classify.cw2_helper()
ibkCls_crossval = classify.cw2_classifier()
ibkCls_crossval.load_data(filename)
ibkCls_crossval.run_ibk_crossval("results/" + str(testName))
def run_ibk_split(args):
global filename, testName
jvm_helper = classify.cw2_helper()
ibkCls = classify.cw2_classifier()
ibkCls.load_data_split(filename, 80)
ibkCls.run_ibk_split("results/" + str(testName))
def run_simplekm_with_class(args):
global filename, testName
jvm_helper = classify.cw2_helper()
simplek_full = classify.cw2_classifier()
simplek_full.load_data(filename, True)
simplek_full.run_cluster_simplek("results/" + str(testName), False, 7)
def run_nb_crossval(args):
global filename, testName
jvm_helper = classify.cw2_helper()
naiveBayesCls_crossval = classify.cw2_classifier()
naiveBayesCls_crossval.load_data(filename)
naiveBayesCls_crossval.run_naive_bayes_crossval("results/" + str(testName))
def run_nb_split(args):
global filename, testName
jvm_helper = classify.cw2_helper()
naiveBayesCls = classify.cw2_classifier()
naiveBayesCls.load_data_split(filename, 80)
naiveBayesCls.run_naive_bayes_split("results/" + str(testName))
def run_clusters_auto1(num_clusters):
global filename, testName
jvm_helper = classify.cw2_helper()
simplek_full = classify.cw2_classifier()
simplek_full.load_data(filename)
clusterList = [2, 4, 7, 10, 15]
for clusterNum in clusterList:
simplek_full.run_clustering_task7_manual("results/" + str(testName),
"weka.clusterers.EM",
clusterNum)
def run_classifiers():
jvm_helper = classify.cw2_helper(False)
jvm_helper.cleanup()
threads = []
#TASK 1
# Create new threads
# thread1 = myThread(1, "IBK-Cross-Val", run_ibk_crossval)
# thread2 = myThread(2, "IBK-Split", run_ibk_split)
# thread3 = myThread(3, "run_nb_split", run_nb_split)
# thread4 = myThread(4, "run_nb_crossval", run_nb_crossval)
#TASK3
# thread1 = myThread(1, "run_bayes_split", run_bayes_split, (1))
# thread2 = myThread(2, "run_bayes_split", run_bayes_split, (3))
# thread3 = myThread(3, "run_bayes_split", run_bayes_split, (5))
#TASK5
# thread1 = myThread(1, "run_simplekm_noclass", run_simplekm_noclass)
# thread2 = myThread(2, "run_simplekm_with_class", run_simplekm_with_class)
#TASK7
# thread1 = myThread(1, "run_clusters_auto1", run_clusters_auto1)
# thread1 = myThread(2, "run_clusters_auto2", run_clusters_auto2)
# thread1 = myThread(1, "run_clusters_manual", run_clusters_manual, 4)
# thread2 = myThread(2, "run_clusters_manual", run_clusters_manual, (15))
# thread3 = myThread(3, "run_clusters_manual", run_clusters_manual, (7))
# thread4 = myThread(4, "run_clusters_manual", run_clusters_manual, (10))
thread1 = myThread(4, "run_seeds_manual", test_seeds_manual, (0))
# Start new Threads
thread1.start()
# thread2.start()
# thread3.start()
# thread4.start()
# Add threads to thread list
threads.append(thread1)
# threads.append(thread2)
# threads.append(thread3)
# threads.append(thread4)
# Wait for all threads to complete
for t in threads:
t.join()
jvm_helper.cleanup()
print("Exiting Main Thread")
def run_clusters_manual(num_clusters):
global filename, testName
jvm_helper = classify.cw2_helper()
simplek_full = classify.cw2_classifier()
simplek_full.load_data(filename)
simplek_full.run_clustering_task7_manual("results/" + str(testName),
"weka.clusterers.FarthestFirst",
num_clusters)
simplek_full.run_clustering_task7_manual("results/" + str(testName),
"weka.clusterers.SimpleKMeans",
num_clusters)
def run_bayes_split(parents=1):
global filename, testName
jvm_helper = classify.cw2_helper()
BayesCls_split = classify.cw2_classifier()
BayesCls_split.load_data_split(filename, 80)
BayesCls_split.run_bayes_split("results/" + str(testName), parents)
BayesCls_split = classify.cw2_classifier()
BayesCls_split.load_data_split(filename, 80)
BayesCls_split.run_bayes_hill_split("results/" + str(testName), parents)
BayesCls_split = classify.cw2_classifier()
BayesCls_split.load_data_split(filename, 80)
BayesCls_split.run_bayes_tan_split("results/" + str(testName), parents)
def test_seeds_manual(args):
global filename, testName
jvm_helper = classify.cw2_helper()
simplek_full = classify.cw2_classifier()
simplek_full.load_data(filename)
clusterNum = 7
seedList = [1, 10, 20, 40, 50, 80, 100, 150]
for seed in seedList:
simplek_full.run_clustering_task7_manual("results/" + str(testName),
"weka.clusterers.EM",
clusterNum, seed)
simplek_full.run_clustering_task7_manual(
"results/" + str(testName), "weka.clusterers.FarthestFirst",
clusterNum, seed)
def run_clusters_auto2(num_clusters):
global filename, testName
jvm_helper = classify.cw2_helper()
simplek_full = classify.cw2_classifier()
simplek_full.load_data(filename)
