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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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