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-rw-r--r--tensorflow/contrib/learn/python/learn/evaluable.py10
1 files changed, 6 insertions, 4 deletions
diff --git a/tensorflow/contrib/learn/python/learn/evaluable.py b/tensorflow/contrib/learn/python/learn/evaluable.py
index 14cf5f01b8..aff0d70cd5 100644
--- a/tensorflow/contrib/learn/python/learn/evaluable.py
+++ b/tensorflow/contrib/learn/python/learn/evaluable.py
@@ -51,12 +51,14 @@ class Evaluable(object):
for which this evaluation was performed.
Args:
- x: Matrix of shape [n_samples, n_features...] containing the input samples
- for fitting the model. Can be iterator that returns arrays of features.
- If set, `input_fn` must be `None`.
+ x: Matrix of shape [n_samples, n_features...] or dictionary of many matrices
+ containing the input samples for fitting the model. Can be iterator that returns
+ arrays of features or dictionary of array of features. If set, `input_fn` must
+ be `None`.
y: Vector or matrix [n_samples] or [n_samples, n_outputs] containing the
label values (class labels in classification, real numbers in
- regression). Can be iterator that returns array of labels. If set,
+ regression) or dictionary of multiple vectors/matrices. Can be iterator
+ that returns array of targets or dictionary of array of targets. If set,
`input_fn` must be `None`. Note: For classification, label values must
be integers representing the class index (i.e. values from 0 to
n_classes-1).