1 # Copyright 2017 The TensorFlow Authors. All Rights Reserved. 2 # 3 # Licensed under the Apache License, Version 2.0 (the "License"); 4 # you may not use this file except in compliance with the License. 5 # You may obtain a copy of the License at 6 # 7 # http://www.apache.org/licenses/LICENSE-2.0 8 # 9 # Unless required by applicable law or agreed to in writing, software 10 # distributed under the License is distributed on an "AS IS" BASIS, 11 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 # See the License for the specific language governing permissions and 13 # limitations under the License. 14 # ============================================================================== 15 """Enum for model prediction keys.""" 16 17 from __future__ import absolute_import 18 from __future__ import division 19 from __future__ import print_function 20 21 from tensorflow.python.estimator import model_fn 22 23 24 class MetricKeys(object): 25 """Metric key strings.""" 26 LOSS = model_fn.LOSS_METRIC_KEY 27 LOSS_MEAN = model_fn.AVERAGE_LOSS_METRIC_KEY 28 LOSS_REGULARIZATION = 'regularization_loss' 29 30 ACCURACY = 'accuracy' 31 # This is the best the model could do by always predicting one class. 32 # Should be < ACCURACY in a trained model. 33 ACCURACY_BASELINE = 'accuracy_baseline' 34 AUC = 'auc' 35 AUC_PR = 'auc_precision_recall' 36 LABEL_MEAN = 'label/mean' 37 PREDICTION_MEAN = 'prediction/mean' 38 39 # The following require a threshold applied, should be float in range (0, 1). 40 ACCURACY_AT_THRESHOLD = 'accuracy/positive_threshold_%g' 41 PRECISION_AT_THRESHOLD = 'precision/positive_threshold_%g' 42 RECALL_AT_THRESHOLD = 'recall/positive_threshold_%g' 43
