Gretel SDK

Start building with synthetic data in just 3 lines of code 🚀

The SDK's high-level interface makes interacting with Gretel's APIs simple and intuitive. Training state-of-the-art deep generative models from scratch only takes a few lines of code:

from gretel_client import Gretel

gretel = Gretel(project_name="sdk-docs", api_key="prompt")

trained = gretel.submit_train("tabular-actgan", data_source="data.csv")

In this section, we will provide an overview of the key concepts you need to know to start building with the high-level interface:

  1. The Gretel Object

  2. Train and Generate Jobs

  3. Gretel Reports

  4. Gretel Navigator Inference API

What about the lower-level SDK?

The high-level SDK interface is built on top of the lower-level Gretel Python SDK. This means it is compatible with all existing code, and the lower-level SDK can always be used for features that are not yet covered by the high-level SDK.

Note that the high-level interface is in active development, and it currently only supports Synthetics. We have plans to add support for Transform and Workflows soon.

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