REST API - Tensorflow/server.py
def init_model():
    '''
    Initialize the model and train it for 
    '''
    
    global cls
    cls = ImageClassifier()
    if TO_TRAIN:
        cls.train()
        logging.info("Train Variable Value: {}". format(TO_TRAIN))
        logging.info("Straining to train model")
    else:
        cls.load_model()
        logging.info("Train Variable Value: {}". format(TO_TRAIN))
        logging.info("Loaded Trained Model")

    Initialize the model and train it for 
    
Initialize the model and train it for
Initialize the model and train it for
def init_model():
    global cls
    cls = ImageClassifier()
    if TO_TRAIN:
        cls.train()
        logging.info("Train Variable Value: {}". format(TO_TRAIN))
        logging.info("Straining to train model")
    else:
        cls.load_model()
        logging.info("Train Variable Value: {}". format(TO_TRAIN))
        logging.info("Loaded Trained Model")
def init_model ( ) : global cls cls = ImageClassifier ( ) if TO_TRAIN : cls . train ( ) logging . info ( "Train Variable Value: {}" . format ( TO_TRAIN ) ) logging . info ( "Straining to train model" ) else : cls . load_model ( ) logging . info ( "Train Variable Value: {}" . format ( TO_TRAIN ) ) logging . info ( "Loaded Trained Model" )
Initialize the model and train it for
Initialize the model and train it for
'''
    Initialize the model and train it for 
    '''