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Fix bad links in docs
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docs/custom_data_validation.md

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@@ -6,9 +6,9 @@ freshness: { owner: 'kuochuntsai' reviewed: '2022-11-29' }
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TFDV supports custom data validation using SQL. You can run custom data
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validation using
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[validate_statistics](https://github.com/tensorflow/data-validation/blob/master/tensorflow_data_validation/api/validation_api.py;l=236;rcl=488721853)
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[validate_statistics](https://github.com/tensorflow/data-validation/blob/master/tensorflow_data_validation/api/validation_api.py#L236)
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or
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[custom_validate_statistics](https://github.com/tensorflow/data-validation/blob/master/tensorflow_data_validation/api/validation_api.py;l=535;rcl=488721853).
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[custom_validate_statistics](https://github.com/tensorflow/data-validation/blob/master/tensorflow_data_validation/api/validation_api.py#L535).
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Use `validate_statistics` to run standard, schema-based data validation along
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with custom validation. Use `custom_validate_statistics` to run only custom
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validation.

docs/index.md

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@@ -65,7 +65,7 @@ ExampleGen, (ii) for all pre-transformed data used by Transform and
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(iii) for all post-transform data generated by Transform. When invoked
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in the context of Transform (ii-iii), statistics options and
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schema-based constraints can be set by defining the
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[`stats_options_updater_fn`](https://tensorflow.github.io/tft/guide).
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[`stats_options_updater_fn`](https://tensorflow.github.io/transform).
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This is particilarly useful when validating unstructured data (e.g. text
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features). See the [user
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code](https://github.com/tensorflow/tfx/blob/master/tfx/examples/bert/mrpc/bert_mrpc_utils.py)

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