def __init__(self): try: self.train_model_logs = pd.read_csv('Logs\\TrainingLogs\\train_model_logs.csv') except: self.train_model_logs = pd.DataFrame(columns=['date', 'time', 'logs']) self.loggerObj = application_logger.logger() self.data_loader = trainingDataLoader.data_loader(self.loggerObj,self.train_model_logs) self.preprocess = dataPreprocessor.processData(self.loggerObj,self.train_model_logs) self.model_finder_obj = modelFinder.modelFinder(self.loggerObj,self.train_model_logs) self.save_modelObj = saveLoadModel.saveLoadModel(self.loggerObj,self.train_model_logs)
def __init__(self): # self variables try: self.prediction_validation_logs = pd.read_csv( 'Logs\\Prediction Validation\\prediction_validation_logs.csv') except: self.prediction_validation_logs = pd.DataFrame( columns=['date', 'time', 'logs']) self.log_writer = application_logger.logger() self.raw_validate = validateRawPredictionData.validate_raw_data( self.log_writer, self.prediction_validation_logs) self.data_loader = predictionDataLoader.predictionDataLoader( self.log_writer, self.prediction_validation_logs)
def __init__(self): # self variables try: self.train_validation_logs = pd.read_csv( 'Logs\\Training Validation\\train_validation_logs.csv') except: self.train_validation_logs = pd.DataFrame( columns=['date', 'time', 'logs']) self.logger_object = application_logger.logger() self.raw_validate = validateRawTrainingData.validate_raw_data( self.logger_object, self.train_validation_logs) self.data_loader = trainingDataLoader.data_loader( self.logger_object, self.train_validation_logs)
def __init__(self): try: self.prediction_logs = pd.read_csv( 'Logs\\Prediction Logs\\prediction_logs.csv') self.prediction_logs.drop('Unnamed :0', axis=1, inplace=True) except: self.prediction_logs = pd.DataFrame( columns=['date', 'time', 'logs']) self.loggerObj = application_logger.logger() self.data_loaderObj = predictionDataLoader.predictionDataLoader( logger_obj=self.loggerObj, log_file=self.prediction_logs) self.load_modelObj = saveLoadModel.saveLoadModel( loggerObj=self.loggerObj, log_file=self.prediction_logs) self.preprocessObj = dataPreprocessor.processData( logger_object=self.loggerObj, log_file=self.prediction_logs)