Type SparseFeatureColumn
Namespace tensorflow.contrib.linear_optimizer
Parent PythonObjectContainer
Interfaces ISparseFeatureColumn
Represents a sparse feature column. Contains three tensors representing a sparse feature column, they are
example indices (`int64`), feature indices (`int64`), and feature
values (`float`).
Feature weights are optional, and are treated as `1.0f` if missing. For example, consider a batch of 4 examples, which contains the following
features in a particular `SparseFeatureColumn`: * Example 0: feature 5, value 1
* Example 1: feature 6, value 1 and feature 10, value 0.5
* Example 2: no features
* Example 3: two copies of feature 2, value 1 This SparseFeatureColumn will be represented as follows: ```
<0, 5, 1>
<1, 6, 1>
<1, 10, 0.5>
<3, 2, 1>
<3, 2, 1>
``` For a batch of 2 examples below: * Example 0: feature 5
* Example 1: feature 6 is represented by `SparseFeatureColumn` as: ```
<0, 5, 1>
<1, 6, 1> ```
Properties
Public properties
Tensor example_indices get;
The example indices represented as a dense tensor.
object example_indices_dyn get;
The example indices represented as a dense tensor.
Tensor feature_indices get;
The feature indices represented as a dense tensor.
object feature_indices_dyn get;
The feature indices represented as a dense tensor.
Tensor feature_values get;
The feature values represented as a dense tensor.
object feature_values_dyn get;
The feature values represented as a dense tensor.