def __init_models(self):
for file in os.listdir(self.models_folder):
if file.endswith(".json"):
processor = Processor(sliding_window_frame_size=20,
stddev_threshold=0.1,
risk_iterations=5,
minimum_training_size=900,
starting_eval_size=5,
save_trained_model=True,
save_path='./')
processor.load_processor(self.models_folder + '/' + file, [{
'Learner':
AutoEncoderNNWeakLearner(cols_shape=24),
'Extractor':
DataReaderExtractor(),
'Stream':
DataReaderStream(
data_folder='C:/Users/ofiri/Desktop/Tests/B/test'),
'Sanitizer':
None
}, {
'Learner':
AutoEncoderNNWeakLearner(cols_shape=6),
'Extractor':
DataReaderExtractor(),
'Stream':
DataReaderStream(
data_folder='C:/Users/ofiri/Desktop/Tests/A/test'),
'Sanitizer':
None
}])
self.processes.append(processor)
# data_stream=KeyboardDataStream())
#
# processor.add_weak_learner(learner=AutoEncoderNNWeakLearner(cols_shape=24),
# extractor=MouseExtractor(),
# data_stream=MouseStream())
processor.load_processor('./processor_data_ofir.json', [{
'Learner':
AutoEncoderNNWeakLearner(cols_shape=24),
'Extractor':
DataReaderExtractor(),
'Stream':
DataReaderStream(data_folder='C:/Users/ofiri/Desktop/Tests/B/test'),
'Sanitizer':
None
}, {
'Learner':
AutoEncoderNNWeakLearner(cols_shape=6),
'Extractor':
DataReaderExtractor(),
'Stream':
DataReaderStream(data_folder='C:/Users/ofiri/Desktop/Tests/A/test'),
'Sanitizer':
None
}])
processor.start_process(train=False)
# processor.add_weak_learner(learner=AutoEncoderNNWeakLearner(cols_shape=24),
# extractor=DataReaderExtractor(),
# data_stream=DataReaderStream(data_folder="C:/Users/ofiri/Desktop/Tests/B"))
