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How to deploy a new version of the QDK?
setup.py
.make publish
There are four types of base components in the QDK.
LoadComponent
. Takes nothing as input and outputs a DataFrame.TransformComponent
. Takes a DataFrame as input and outputs a DataFrame.TrainingComponent
. Takes data and a model as input and outputs a trained model.InferenceComponent
. Takes data and a model as input and ouputs prediction data.Adding a new component to the QDK requires the following steps:
qdk/loader
) a new Python file that inherits from the parent component. In this file you can optionally overwrite input_defs
, output_defs
and config_schema
. When adding a new component, you are required to add a classmethod with the same name as the compute_function
attribute on the parent class. The keys in the config_schema
are injected into the parameters of the compute function. Lastly, you need to import the new component to qdk/__init__.py
. This allows you to import it from top-level.pytest
. The tests can be added at qdk/tests
. Reminder to prefix the folder, files and functions with test_
. One is able to test the components using either VScode testing or the terminal (e.g. with pytest -s qdk/tests/test_loaders
).FAQs
An internal Quantile development kit for making working with data easier
We found that quantile-data-kit demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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