def __init__(self, path):
self.raw_data = PredictionRawDataValidation(path)
self.dbOperation = dbOperation('PredictionLogs')
self.path = path
self.log = app_logger.logger()
self.file = open('PredictionLogs/MainPredictionDataValidationlogs.txt',
'a+')
def __init__(self):
self.log = app_logger.logger()
self.file = open('TrainingLogs/tuner.txt', 'a+')
self.exception_file = open('TrainingLogs/Exception.txt', 'a+')
def __init__(self,path):
self.directory_path=path
self.log=app_logger.logger()
self.schema_path='train_schema.json'
def __init__(self, logFolder, loggerFilename):
self.log = app_logger.logger()
self.file = open(f'{logFolder}/{loggerFilename}', 'a+')
self.exception_file = open(f'{logFolder}/Exception.txt', 'a+')
def __init__(self, file_path, exception_file_path):
self.log = app_logger.logger()
self.file = open(file_path, 'a+')
self.Exceptionfile = open(exception_file_path, 'a+')
def __init__(self):
self.log=app_logger.logger()
self.file=open('TrainingLogs/clustering.txt','a+')
self.Exceptionfile=open('TrainingLogs/Exception.txt','a+')
self.model_obj=model()
def __init__(self):
self.log=app_logger.logger()
self.file=open('TrainingLogs/tainModelLogs.txt','a+')
self.model_finder_obj=model_finder()
self.model_obj=model('TrainingLogs/models_saving_and_loading_logs.txt','TrainingLogs/Exception.txt')
def __init__(self,logFile):
self.logger=app_logger.logger()
self.file=open(f'{logFile}/dbOperation.txt','a+')
self.exceptionfile=open(f'{logFile}/Exception.txt','a+')