research/gam/gam/experiments/run_train_gam.py [179:199]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                     'Batch size for classification model.')
flags.DEFINE_float(
    'gradient_clip', None,
    'The gradient clipping global norm value. If None, no clipping is done.')
flags.DEFINE_integer(
    'logging_step_cls', 200,
    'Print summary of the classification model training every this number of '
    'iterations.')
flags.DEFINE_integer(
    'logging_step_agr', 200,
    'Print summary of the agreement model training every this number of '
    'iterations.')
flags.DEFINE_integer(
    'summary_step_cls', 100,
    'Print summary of classification model training every this number of '
    'iterations.')
flags.DEFINE_integer(
    'summary_step_agr', 100,
    'Print summary of the agreement model training every this number of '
    'iterations.')
flags.DEFINE_integer(
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research/gam/gam/experiments/run_train_gam_graph.py [157:177]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                     'Batch size for classification model.')
flags.DEFINE_float(
    'gradient_clip', None,
    'The gradient clipping global norm value. If None, no clipping is done.')
flags.DEFINE_integer(
    'logging_step_cls', 200,
    'Print summary of the classification model training every this number of '
    'iterations.')
flags.DEFINE_integer(
    'logging_step_agr', 200,
    'Print summary of the agreement model training every this number of '
    'iterations.')
flags.DEFINE_integer(
    'summary_step_cls', 100,
    'Print summary of classification model training every this number of '
    'iterations.')
flags.DEFINE_integer(
    'summary_step_agr', 100,
    'Print summary of the agreement model training every this number of '
    'iterations.')
flags.DEFINE_integer(
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