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| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2017-04-03 10:36:51 -0800 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-04-03 11:52:59 -0700 |
| commit | c64831d1c1e839f6cdb98d5a58438d0b454974d8 (patch) | |
| tree | 97d36f940360f651ecb1e72e0bdc8d3202cb02b4 | |
| parent | 2fa975023d9834794aebbecf966856b1e27b539e (diff) | |
Improve docstring for eval_metrics.
Change: 152035648
| -rw-r--r-- | tensorflow/contrib/learn/python/learn/experiment.py | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/tensorflow/contrib/learn/python/learn/experiment.py b/tensorflow/contrib/learn/python/learn/experiment.py index a8f8d995fe..cecc24c17d 100644 --- a/tensorflow/contrib/learn/python/learn/experiment.py +++ b/tensorflow/contrib/learn/python/learn/experiment.py @@ -97,7 +97,8 @@ class Experiment(object): finite number of batches (generally, 1 epoch over the evaluation data). eval_metrics: `dict` of string, metric function. If `None`, default set is used. This should be `None` if the `estimator` is - ${tf.estimator.Estimator}. + ${tf.estimator.Estimator}. If metrics are provided they will be + *appended* to the default set. train_steps: Perform this many steps of training. `None`, the default, means train forever. eval_steps: `evaluate` runs until input is exhausted (or another exception |