quantile-data-kit 0.0.48

An internal Quantile development kit for making working with data easier

Quantile Data Kit 🔍

Publish to pypi

How to deploy a new version of the QDK?

1. Update the package version in setup.py.
2. Run the Makefile make publish

Components

There are four types of base components in the QDK.

1. LoadComponent. Takes nothing as input and outputs a DataFrame.
2. TransformComponent. Takes a DataFrame as input and outputs a DataFrame.
3. TrainingComponent. Takes data and a model as input and outputs a trained model.
4. InferenceComponent. Takes data and a model as input and ouputs prediction data.

Adding a new component?

Adding a new component to the QDK requires the following steps:

1. Type of component: Decide which type of the four components above you are adding.
2. Add component: Once you decide which type of component you are adding, add in the corresponding folder (e.g. 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.
3. Write tests: To continuously check the robustness of the components, we highly encourage you to add tests using 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).