Appendix

dasdas

Python SDK
CLI
CE Dashboard
Python SDK

Placeholder text

# here some python code
from m import c as k
place.holder()
CLI

Placeholder text

# here some YAML stuff
CE Dashboard

Currently, this feature is unavailable.

We are working hard to create a dashboard for the Core Engine. Please see our roadmap for an indication on when this feature will be released.

TFRecords and speed up

TFRecords is a binary data format defined by the Tensorflow project. Its purpose is to make the reading of data in machine learning pipelines more efficient and therefore faster.

For the Core Engine, we automatically encode all data flowing through our pipelines in TFRecords format. We have optimized our training loops to take full advantage of the TFRecords format, which has been shown to increase preprocessing and training speed by up to 7 times, depending on the data and configuration.

As a user, you get this for all your pipelines, built-in and ready to go.

dasdasdsa