ml-base
ml-base is a package that provides base classes and utilities that are useful for deploying machine learning models.
Installation
The easiest way to install ml-base is using pip
pip install ml-base
Usage
There are several examples of how to use the ml-base framework in the documentation.
Development
First, download the source code with this command:
git clone https://github.com/schmidtbri/ml-base
Then create a virtual environment and activate it:
# go into the project directory
cd ml-base
make venv
source venv/bin/activate
Install the dependencies:
make dependencies
Testing
To run the unit test suite execute these commands:
# first install the test dependencies
make test-dependencies
# run the test suite
make test
# clean up the unit tests
make clean-test
1 maintainer
Release files for ml-base 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ml_base-0.2.2.tar.gz | 7.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ml_base-0.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.0 kB
Release files / ml_base-0.2.2.tar.gz
| Download URL | ml_base-0.2.2.tar.gz |
|---|---|
| Size | 7.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
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Release files / ml_base-0.2.2-py3-none-any.whl
| Download URL | ml_base-0.2.2-py3-none-any.whl |
|---|---|
| Size | 7.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
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