tf.flags.DEFINE_boolean(
"rc", False,
"Average the forward and reverse complement predictions when testing")
tf.flags.DEFINE_string("save_prefix", "houndnn", "Prefix for save files")
tf.flags.DEFINE_integer("seed", 1, "Random seed")
tf.flags.DEFINE_string("shifts", "0", "Ensemble prediction shifts.")
tf.flags.DEFINE_string("params", "", "File containing parameter config")
tf.flags.DEFINE_string("data", "", "hd5 data file")
After Change
"Drop learning rate when training loss stalls")
tf.flags.DEFINE_integer("mc_n", 0, "Monte Carlo test iterations")
tf.flags.DEFINE_integer("min_epochs", 0, "Minimum epochs to train")
tf.flags.DEFINE_boolean("no_steps", False, "Update ops but no step ops")
tf.flags.DEFINE_string("restart", None, "Restart training the model")
tf.flags.DEFINE_boolean(
"rc", False,
"Average the forward and reverse complement predictions when testing")
