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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
About
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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