Core Concepts#
In this section, we'll get acquainted with the core concepts on Kolena, and learn in-depth about the various features
offered. For a brief introduction, see the Quickstart Guide or the
Building a Workflow tutorial. For code-level API documentation, see the
API Reference Documentation for the kolena
Python client.
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Testing in Kolena is broken down by the type of ML problem you're solving, called a workflow. Any ML problem that can be tested can be modeled as a workflow in Kolena.
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Test cases and test suites are used to organize test data in Kolena.
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In Kolena, a model is a deterministic transformation from test samples to inferences.