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An easy-to-use rapid model prototyping tool built with TensorFlow. It started as an educational project based on the TensorFlow Wide & Deep Learning Tutorial.

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usage: tf_app.py [-h] [--verbose [VERBOSE]] [--noverbose]
                 [--model_conf_file MODEL_CONF_FILE]
                 [--data_conf_file DATA_CONF_FILE]
                 [--train_n_test_file TRAIN_N_TEST_FILE]
                 [--model_dir MODEL_DIR] [--weights_file WEIGHTS_FILE]
                 [--model_type MODEL_TYPE] [--train_steps TRAIN_STEPS]
                 [--learn_rate LEARN_RATE]

optional arguments:
  -h, --help            show this help message and exit
  --verbose [VERBOSE]   Show INFO and WARN messages
  --noverbose
  --model_conf_file MODEL_CONF_FILE
                        Path to the Model Config Yaml file, default:{}
  --data_conf_file DATA_CONF_FILE
                        Path to the Data Config Yaml file, default:{}
  --train_n_test_file TRAIN_N_TEST_FILE
                        Path to the combined training and testing data (will
                        be split).
  --model_dir MODEL_DIR
                        Base directory for output models.
  --weights_file WEIGHTS_FILE
                        File path for serialized model weights output.
  --model_type MODEL_TYPE
                        Valid model types: {'wide', 'deep', 'wide_n_deep'}.
  --train_steps TRAIN_STEPS
                        Number of training steps.
  --learn_rate LEARN_RATE
                        Learning Rate


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An easy-to-use rapid model prototyping tool built with TensorFlow. It started as an educational project based on the TensorFlow Wide & Deep Learning Tutorial.

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