def harvard_test(algo):
print("Test on Harvard Dataset")
pos_idx, cts = read_harvard_data_cts()
M = optimized_M_3
sure_list, unsure_list, neg_list, x = get_test_results(M, cts, algo)
print("Sure list:", sure_list)
print("Unsure list:", unsure_list)
print("Neg list:", neg_list)
print("x:", x)
def test_harvard_data():
from utils.experimental_data_manager import read_harvard_data_cts
import json
#print('Testing Harvard data with config.app_algo =', config.app_algo)
pos_idx, cts = read_harvard_data_cts()
res = get_test_results("optimized_M_3", cts)
result_string = res["result_string"]
sure_list = res["sure_list"]
unsure_list = res["unsure_list"]
neg_list = res["neg_list"]
x = res["x"]
print(result_string)
print(sure_list)
print(unsure_list)
print(neg_list)
print(x)
# Following line checks json serializability of res
print(json.dumps(res, indent=2))
#pos_list = res['sure_list'] + res['unsure_list']
#for idx in pos_idx:
# assert idx in pos_list
return
# Do same test with smaller n
n = 56
print('\nTesting Harvard data with n =', n)
res = get_test_results("optimized_M_3", cts, n)
result_string = res["result_string"]
sure_list = res["sure_list"]
unsure_list = res["unsure_list"]
neg_list = res["neg_list"]
x = res["x"]
print(result_string)
#print(sure_list)
#print(unsure_list)
#print(neg_list)
#print(x)
pos_list = res['sure_list'] + res['unsure_list']
#for idx in pos_idx:
# assert idx in pos_list
# Do same test with smaller n
n = 50
print('\nTesting Harvard data with n =', n)
res = get_test_results("optimized_M_3", cts, n)
result_string = res["result_string"]
sure_list = res["sure_list"]
unsure_list = res["unsure_list"]
neg_list = res["neg_list"]
x = res["x"]
print(result_string)
#print(sure_list)
#print(unsure_list)
#print(neg_list)
#print(x)
pos_list = res['sure_list'] + res['unsure_list']
def run_tests():
pos_idx, cts = read_harvard_data_cts()
print('cts:')
print(cts)
y = get_y_from_cts(cts)
print('y:')
print(y)
for algo in config.app_algos:
print("\nUsing algorithm %s \n" % algo)
harvard_test(algo)