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# The TransmogrifAI Roadmap | ||
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## Short Term | ||
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- Implement Python interface for loading and evaluating TransmogrifAI models - [#393](https://github.com/salesforce/TransmogrifAI/issues/393) | ||
- Extend Python interface to allow defining workflows & train models with existing TransmogrifAI readers, stages etc. - [#393](https://github.com/salesforce/TransmogrifAI/issues/393) | ||
- Standatize versioning of TransmogrifAI models format and implement verification for safe execution - [#397](https://github.com/salesforce/TransmogrifAI/issues/397) | ||
- Implement deep learning support, e.g. an ability to load an TensorFlow models and score them - [#288](https://github.com/salesforce/TransmogrifAI/issues/248), [#355](https://github.com/salesforce/TransmogrifAI/pull/355) | ||
- Investigate integration with [JohnSnowNLP](https://github.com/JohnSnowLabs/spark-nlp) library, since it has some many fancy operations that we could use | ||
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## Long Term | ||
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- Extend Python interface to allow defining custom readers & stages with Python code snippets - [#393](https://github.com/salesforce/TransmogrifAI/issues/393) | ||
- Allow exporting TransmogrifAI models in MLeap or other popular format, e.g. ONNX |