research/gam/gam/experiments/run_train_gam.py [251:272]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                  'Whether to use an inductive or transductive SSL setting.')
flags.DEFINE_string(
    'experiment_suffix', '',
    'A suffix you might want to add at the end of the experiment name to'
    'identify it.')
flags.DEFINE_bool(
    'eval_acc_pred_by_agr', False,
    'Whether to compute the accuracy of a classification model that makes '
    'label predictions using the agreement model`s predictions. This is done'
    'by computing the majority vote of the labeled samples, weighted by the '
    ' agreement model. This is for monitoring the progress only.')
flags.DEFINE_integer(
    'num_neighbors_pred_by_agr', 50,
    'Number of labeled samples to use when predicting by agreement.')
flags.DEFINE_string(
    'optimizer', 'adam',
    'Which optimizer to use. Valid options are `adam`, `amsgrad`.')
flags.DEFINE_bool(
    'load_from_checkpoint', False,
    'Whether to load the trained model and the data that has been self-labeled '
    'from a previous run, if available. This is useful if a process can get '
    'preempted or interrupted.')
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



research/gam/gam/experiments/run_train_gam_graph.py [229:250]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                  'Whether to use an inductive or transductive SSL setting.')
flags.DEFINE_string(
    'experiment_suffix', '',
    'A suffix you might want to add at the end of the experiment name to'
    'identify it.')
flags.DEFINE_bool(
    'eval_acc_pred_by_agr', False,
    'Whether to compute the accuracy of a classification model that makes '
    'label predictions using the agreement model`s predictions. This is done'
    'by computing the majority vote of the labeled samples, weighted by the '
    ' agreement model. This is for monitoring the progress only.')
flags.DEFINE_integer(
    'num_neighbors_pred_by_agr', 50,
    'Number of labeled samples to use when predicting by agreement.')
flags.DEFINE_string(
    'optimizer', 'adam',
    'Which optimizer to use. Valid options are `adam`, `amsgrad`.')
flags.DEFINE_bool(
    'load_from_checkpoint', False,
    'Whether to load the trained model and the data that has been self-labeled '
    'from a previous run, if available. This is useful if a process can get '
    'preempted or interrupted.')
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -