Comments (3)
@Debasish-Das-CK tf.contrib.data.make_batched_features_dataset
is fully supported and recommended see https://www.youtube.com/watch?v=uIcqeP7MFH0.
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also I guess examples need to be updated with the official API...should I push a PR ?
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sounds good @ravwojdyla
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Related Issues (20)
- Segmentation Fault on tft.compute_and_apply_vocabulary HOT 8
- Release new version that's compatible with `tfx[kfp]==1.10.0` HOT 7
- Can't install due to dependency on numpy HOT 5
- Could tft support embedding transform function? HOT 11
- Python 3.10 support HOT 19
- TypeError: an integer is required [while running 'AnalyzeAndTransformDataset/TransformDataset/InstrumentInputBytes[Transform] HOT 6
- Allow Identity "Transformation" HOT 4
- Beam AnalyzeAndTransformDataset runs expensive transformation _InstanceDictInputToTFXIOInput Twice HOT 3
- Install fails on Apple M2 Ventura HOT 3
- Apple Silicon support for tensorflow-transform not available as tfx-bsl does not support it? HOT 3
- Raise pyarrow upper bound? HOT 12
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- Transform component and tf.function HOT 4
- Transform graph returns an empty dictionary at serve_tf_examples_fn function HOT 4
- Graph error when using TFHub Universal-sentence-encoder model HOT 2
- Wheel missing py.typed HOT 2
- universal sentence encoder batch pipeline failing HOT 3
- tfx.components.Transform returns invalid results HOT 1
- TFX Transform layer returns dict with missing keys HOT 2
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