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)
