def execute(self):
detector_names = ', '.join([d.__name__ for d in self.detectors])
progress_logger.info(
"Config settings: use_name_in_from={}, parallel={}, detectors={}".
format(self.use_name_in_from, self.parallel, detector_names))
start_time = time.time()
MemTracker.initialize(memory_logger)
logs.Watchdog.initialize()
logs.context = {'phase': 'generate_features'}
if self.generate_data_matrix or self.generate_test_matrix:
self.generate_features()
logs.context = {}
MemTracker.logMemory(
"After generating features/Before generating model")
logs.context = {'phase': 'generate_model_output'}
if self.generate_model:
self.generate_model_output()
logs.context = {}
MemTracker.logMemory("After generating model")
end_time = time.time()
min_elapsed, sec_elapsed = int((end_time - start_time) / 60), int(
(end_time - start_time) % 60)
progress_logger.info(
"Phish Detector took {} minutes, {} seconds to run.".format(
min_elapsed, sec_elapsed))
logs.RateLimitedLog.flushall()
def execute(self):
detector_names = ', '.join([d.__name__ for d in self.detectors])
progress_logger.info("Config settings: use_name_in_from={}, parallel={}, detectors={}".format(self.use_name_in_from, self.parallel, detector_names))
start_time = time.time()
MemTracker.initialize(memory_logger)
logs.Watchdog.initialize()
logs.context = {'phase': 'generate_features'}
if self.generate_data_matrix or self.generate_test_matrix:
self.generate_features()
logs.context = {}
MemTracker.logMemory("After generating features/Before generating model")
logs.context = {'phase': 'generate_model_output'}
if self.generate_model:
self.generate_model_output()
logs.context = {}
MemTracker.logMemory("After generating model")
end_time = time.time()
min_elapsed, sec_elapsed = int((end_time - start_time) / 60), int((end_time - start_time) % 60)
progress_logger.info("Phish Detector took {} minutes, {} seconds to run.".format(min_elapsed, sec_elapsed))
logs.RateLimitedLog.flushall()
