# tf.SparseFeature

### class tf.SparseFeature

See the guide: Inputs and Readers > Converting

Configuration for parsing a sparse input feature.

#### Fields:

• index_key: Name of index feature. The underlying feature's type must be int64 and its length must always match that of the value_key feature.
• value_key: Name of value feature. The underlying feature's type must be dtype and its length must always match that of the index_key feature.
• dtype: Data type of the value_key feature.
• size: A Python int to specify a dimension of the dense shape. Each value in the index_key feature must be in [0, size).
• already_sorted: A Python boolean to specify whether the values in index_key are already sorted. If so skip sorting. False by default (optional).

## Properties

### already_sorted

Alias for field number 4

### dtype

Alias for field number 2

### index_key

Alias for field number 0

### size

Alias for field number 3

### value_key

Alias for field number 1