schedule.py

# Copyright 2018 Ranya Almohsen
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#  http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
import train_AAE
import novelty_detector
import csv


full_run = True


def save_results(results):
    f = open("results_OpenSetSVM.csv", 'wt')
    writer = csv.writer(f)
    writer.writerow(('F1',))
    writer.writerow(('Opennessid 0', 'Opennessid 1', 'Opennessid 2', 'Opennessid 3', 'Opennessid 4'))
    maxlength = 0
    for openessid in range(5):
        list = results[openessid]
    maxlength = max(maxlength, len(list))

    for r in range(maxlength):
        row = []
        for openessid in range(5):
            if r < len(results[openessid]):
                f1, th, auc = results[openessid][r]
                #f1, th = results[openessid][r]

                row.append(f1)
        writer.writerow(tuple(row))

    writer.writerow(('AUC',))
    writer.writerow(('Opennessid 0', 'Opennessid 1', 'Opennessid 2', 'Opennessid 3', 'Opennessid 4'))

    for r in range(maxlength):
        row = []
        for openessid in range(5):
            if r < len(results[openessid]):
                f1, th, auc = results[openessid][r]
                row.append(auc)
        writer.writerow(tuple(row))


    writer.writerow(('Threshold',))
    writer.writerow(('Opennessid 0', 'Opennessid 1', 'Opennessid 2', 'Opennessid 3', 'Opennessid 4'))

    for r in range(maxlength):
        row = []
        for openessid in range(5):
            if r < len(results[openessid]):
                f1, th, auc = results[openessid][r]
                #f1, th = results[openessid][r]

                row.append(th)
        writer.writerow(tuple(row))

    f.close()


results = {}

for openessid in range(5):
    results[openessid] = []

for fold in range(5 if full_run else 1):
    for class_fold in range(5):

        # Train AAE
        train_AAE.main(fold, class_fold)

        for openessid in range(5):
            res = novelty_detector.main(fold, openessid, class_fold)
            results[openessid] += [res]
            save_results(results)