Introduction to evoML Client
EvoML allows more advanced users to easily interact with their existing systems and code via a well defined restful client written in Python.
Downloading the evoML Client
The evoML Client is hosted on the PyPi registry as turintech-evoml-client.
Additionally, we host evoML Client on our private WebDAV servers. Access to the artifact
distribution services requires prior authorisation. Please contact support@turintech.ai for access requests.
Ensure you download the version of the client that is compatible with the version of the EvoML platform you are using. Refer to the compatibility matrix below for guidance.
| EvoML Platform version | EvoML Client version |
|---|---|
| 1.12.x | 1.5.x |
| 1.11.x | 1.4.x |
In the following steps, we show an example of how a data scientist can interact with evoML through a Jupyter notebook and train a model seamlessly in the cloud in parallel, while at the same time having the ability to go back on the web version and see the experiments that we run. More specifically we will show how a data scientist can: