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Nirzu97 authored Jul 2, 2021
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This is a TFX-component that allows its users to apply a user code to a schema produced by the [SchemaGen](https://www.tensorflow.org/tfx/guide/schemagen) component, and curate it based on domain knowledge. It fits seamlessly into the ML-pipline made with TFX, and allows schema manipulation based on a module file provided by the User.

## Usage
### Examples demonstrating how to use Schema curation component

To run locally: [taxi_example_local.py](https://github.com/rcrowe-google/schemacomponent/blob/main/example/taxi_example_local.py)
TO run in colab: [taxi_example_colab.ipynb](https://github.com/rcrowe-google/schemacomponent/blob/main/example/taxi_example_colab.ipynb)

## Documentation

### Inputs:
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