Quantile Data Kit 🔍

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How to deploy a new version of the QDK?

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:

Type of component: Decide which type of the four components above you are adding.
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.
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).

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for quantile-data-kit 0.0.48
File	Size	Uploaded
quantile-data-kit-0.0.48.tar.gz	24.1 kB	Sep 5, 2022	Details

Table of built distributions (wheels) for quantile-data-kit 0.0.48
File	Interpreter	ABI	Platform	Reset
quantile_data_kit-0.0.48-py3-none-any.whl 35.4 kB Sep 5, 2022	Python 3	none	any	Details

Total release size: 59.6 kB

Download URL	quantile-data-kit-0.0.48.tar.gz
Size	24.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`cd38b360ff2b2ec62e2f8298bae1b8b5a239a5caa7b51ff4266de116f5b428d2`
BLAKE2b-256 checksum How to use checksums	`768bc4f62e5cf5f004297e045c7b0954d92cd73006457c929439a9f11093d0a1`
Upload date	Sep 5, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.9.7`

Download URL	quantile_data_kit-0.0.48-py3-none-any.whl
Size	35.4 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`24539afe70ff512da32356642084d97130d3c36eb6808e41773611f8b09a6820`
BLAKE2b-256 checksum How to use checksums	`40e7bfb09bda85a2c584e5351a778206367b71d98c70c2fdffcd95db79619358`
Upload date	Sep 5, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.9.7`