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TFX is an end-to-end platform for deploying production ML pipelines
The [TFX roadmap](https://github.com/tensorflow/tfx/blob/master/ROADMAP.md) has not been meaningfully updated since the [end of 2020](https://github.com/tensorflow/tfx/commits/master/ROADMAP.md). Case in point, its scope does not extend beyond Q1 2021, which we are long past now:...
Hi, version : - TFX Version: 0.26.1 (same with 0.26.0) - Python version 3.7: **Describe the current behavior** When running the Transform component, even with no transformations at all, it...
If the bug is related to a specific library below, please raise an issue in the respective repo directly: [TensorFlow Data Validation Repo](https://github.com/tensorflow/data-validation/issues) [TensorFlow Model Analysis Repo](https://github.com/tensorflow/model-analysis/issues) [TensorFlow Transform Repo](https://github.com/tensorflow/transform/issues)...
If the bug is related to a specific library below, please raise an issue in the respective repo directly: [TensorFlow Data Validation Repo](https://github.com/tensorflow/data-validation/issues) [TensorFlow Model Analysis Repo](https://github.com/tensorflow/model-analysis/issues) [TensorFlow Transform Repo](https://github.com/tensorflow/transform/issues)...
Windowing data is one of the key corner stones of data processing on large amounts of data. Will TFX support the use case to consume from raw data, window the...
Over the past year and a half I've been fighting with the various forms of caching provided by Airflow/Kubeflow and TFX. As it stands, caching is useful only in a...
## URL(s) with the issue: https://www.tensorflow.org/tfx/guide/examplegen Please provide a link to the documentation entry, for example: https://www.tensorflow.org/tfx/guide/examplegen ## Description of issue (what needs changing): [The ExampleGen TFX Pipeline Component][1] has...
Correct me if I'm wrong, I'm fairly certain the tutorial examples that call `data_accessor.tf_dataset_factory` with a `tfxio.TensorFlowDatasetOptions` is using this [here](https://github.com/tensorflow/tfx-bsl/blob/182918aaefd5287e7669d87bfc818155470315aa/tfx_bsl/tfxio/tf_example_record.py#L298) that's calling [`make_tf_record_dataset`](https://github.com/tensorflow/tfx-bsl/blob/7d2d9136336b858183c2f384761af36c8dd3f47e/tfx_bsl/tfxio/dataset_util.py#L63). I don't see where the attributes...
From what I can gauge, the `gcr.io/tfx-oss-public/tfx:1.7.1` container as of `1.7.1` does not have `google-reduction-server` installed. I tried installing the package manually according to the documentations: ```bash echo "deb https://packages.cloud.google.com/apt...
All of [tutorial pages](https://www.tensorflow.org/tfx/tutorials) cites using the `DataAcessor` class, something like this: ``` return data_accessor.tf_dataset_factory( file_pattern, tfxio.TensorFlowDatasetOptions( batch_size=batch_size, label_key=_LABEL_KEY), schema=schema).repeat() ``` It's not clear to me what this does and...
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TFX is an end-to-end platform for deploying production ML pipelines