diff options
Diffstat (limited to 'tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-regressor.pbtxt')
-rw-r--r-- | tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-regressor.pbtxt | 58 |
1 files changed, 58 insertions, 0 deletions
diff --git a/tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-regressor.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-regressor.pbtxt new file mode 100644 index 0000000000..f50e375f7c --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-regressor.pbtxt @@ -0,0 +1,58 @@ +path: "tensorflow.estimator.DNNRegressor" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.canned.dnn.DNNRegressor\'>" + 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\', \'hidden_units\', \'feature_columns\', \'model_dir\', \'label_dimension\', \'weight_column\', \'optimizer\', \'activation_fn\', \'dropout\', \'input_layer_partitioner\', \'config\', \'warm_start_from\', \'loss_reduction\', \'batch_norm\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'Adagrad\', \'<function relu instance>\', \'None\', \'None\', \'None\', \'None\', \'weighted_sum\', \'False\'], " + } + 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: "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\'], " + } +} |