Project description

sqlite-utils-ml

An sqlite-utils plugin to perform machine-learning workloads

This sqlite-utils plugin allows to perform machine-learning related workloads, using an MLOps philosophy. All the underlying features are provided by sqlite-ml.

Installation

This plugin can be installed using sqlite-utils:

sqlite-utils install sqlite-utils-ml

Or you can install it as a standard Python package:

pip install sqlite-utils-ml

Usage

All sqlite-ml SQL functions are now available through sqlite-utils.

For instance to load the famous "Iris Dataset":

sqlite-utils memory "select sqml_load_dataset('iris')"

Please refer to sqlite-ml for further instructions.

License

Licensed under Apache License, Version 2.0

Project details

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

This version

0.1.0

Jul 23, 2023

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sqlite_utils_ml-0.1.0.tar.gz (5.7 kB view hashes)

Uploaded Jul 23, 2023 Source

Built Distribution

sqlite_utils_ml-0.1.0-py3-none-any.whl (6.5 kB view hashes)

Uploaded Jul 23, 2023 Python 3

Hashes for sqlite_utils_ml-0.1.0.tar.gz

Hashes for sqlite_utils_ml-0.1.0.tar.gz
Algorithm	Hash digest
SHA256	`b48453068075811cb032e38175601be72f4c1184c1754626a56372618a502758`
MD5	`46096351f6930399943472891c7f4adc`
BLAKE2b-256	`53c9d2075af478a383f9d775e177e46ced0ad95989e99ca9d70aff114d3c9adb`

Hashes for sqlite_utils_ml-0.1.0-py3-none-any.whl

Hashes for sqlite_utils_ml-0.1.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`a8b65c82c39e2d916c17c2b94924ccb9c1d2e59159f98a5b79a75148c5563354`
MD5	`f95e73e09ea50b010ee1c43a06d15072`
BLAKE2b-256	`6a967cb960de03c2feba5ae073088a7819c1e3b382df0ebfd18e8f299ea9d101`