tfds.decode.PartialDecoding | TensorFlow Datasets (original) (raw)
tfds.decode.PartialDecoding
Allow to decode a subset of features.
tfds.decode.PartialDecoding(
features: tfds.typing.FeatureSpecs,
decoders: Optional[utils.TreeDict[base.Decoder]] = None
)
See guide:
https://www.tensorflow.org/datasets/decode#only_decode_a_sub-set_of_the_features
| Args | |
|---|---|
| features | A nested dict of tfds.features.FeatureConnector |
| decoders | Optional additional decoders to apply (e.g.tfds.decode.SkipDecoding()) |
Methods
extract_features(
features: tfds.features.FeatureConnector
) -> tfds.features.FeatureConnector
Returns the tfds.features.FeaturesDict.
Extract the subset of features
| Args | |
|---|---|
| features | Features on which extract the sub-set |
| Returns | |
|---|---|
| features_subset | A subset of the features |
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2024-04-26 UTC.