path: "tensorflow.estimator.BoostedTreesClassifier"
tf_class {
  is_instance: "<class \'tensorflow.python.estimator.canned.boosted_trees.BoostedTreesClassifier\'>"
  is_instance: "<class \'tensorflow.python.estimator.canned.boosted_trees._BoostedTreesBase\'>"
  is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>"
  is_instance: "<type \'object\'>"
  member {
    name: "config"
    mtype: "<type \'property\'>"
  }
  member {
    name: "model_dir"
    mtype: "<type \'property\'>"
  }
  member {
    name: "model_fn"
    mtype: "<type \'property\'>"
  }
  member {
    name: "params"
    mtype: "<type \'property\'>"
  }
  member_method {
    name: "__init__"
    argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\', \'center_bias\', \'pruning_mode\'], varargs=None, keywords=None, defaults=[\'None\', \'<object object instance>\', \'None\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'False\', \'none\'], "
  }
  member_method {
    name: "eval_dir"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "evaluate"
    argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "experimental_feature_importances"
    argspec: "args=[\'self\', \'normalize\'], varargs=None, keywords=None, defaults=[\'False\'], "
  }
  member_method {
    name: "experimental_predict_with_explanations"
    argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "export_saved_model"
    argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
  }
  member_method {
    name: "export_savedmodel"
    argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], "
  }
  member_method {
    name: "get_variable_names"
    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "get_variable_value"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "latest_checkpoint"
    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "predict"
    argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], "
  }
  member_method {
    name: "train"
    argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
}