diff options
Diffstat (limited to 'tensorflow/contrib/learn/python/learn/evaluable.py')
| -rw-r--r-- | tensorflow/contrib/learn/python/learn/evaluable.py | 23 |
1 files changed, 11 insertions, 12 deletions
diff --git a/tensorflow/contrib/learn/python/learn/evaluable.py b/tensorflow/contrib/learn/python/learn/evaluable.py index 7960ef629d..66e1526517 100644 --- a/tensorflow/contrib/learn/python/learn/evaluable.py +++ b/tensorflow/contrib/learn/python/learn/evaluable.py @@ -60,19 +60,19 @@ class Evaluable(object): Args: 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`. + 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) 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). + label values (class labels in classification, real numbers in + 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). input_fn: Input function returning a tuple of: - features - Dictionary of string feature name to `Tensor` or `Tensor`. - labels - `Tensor` or dictionary of `Tensor` with labels. + features - Dictionary of string feature name to `Tensor` or `Tensor`. + labels - `Tensor` or dictionary of `Tensor` with labels. If input_fn is set, `x`, `y`, and `batch_size` must be `None`. If `steps` is not provided, this should raise `OutOfRangeError` or `StopIteration` after the desired amount of data (e.g., one epoch) has @@ -90,7 +90,6 @@ class Evaluable(object): friendly names for the metric to a `MetricSpec` object defining which model outputs to evaluate against which labels with which metric function. - Metric ops should support streaming, e.g., returning `update_op` and `value` tensors. For example, see the options defined in `../../../metrics/python/ops/metrics_ops.py`. |