semvec/pypi-packages huggingface dataset:
predictiveopt 0.0.3
Package containing an implementation of the Predictive Hyperparameter Optimisation algorithm.

# Predictive Hyper Parameter Optimisation

[![Build Status](https://travis-ci.org/DobromirM/Predictive-Hyperparameter-Optimisation.svg?branch=master)](https://travis-ci.org/DobromirM/Predictive-Hyperparameter-Optimisation)

Implementation of a newly developed Predictive Hyperparameter Optimisation algorithm.

https://pypi.org/project/predictiveopt/

## Installation

`pip install predictiveopt`


## Building instructions

1) Building the package: `python setup.py sdist bdist_wheel`
2) Uploading to PyPi: `python -m twine upload  dist/*`
3) Uploading new versions: `twine upload --skip-existing dist/*`
boarml 0.0.6
Package for building abstract ML models that can then be compiled using popular ML platforms.

# Boar ML

[![Build Status](https://travis-ci.org/DobromirM/BoarML.svg?branch=master)](https://travis-ci.org/DobromirM/BoarML)

BOAR (Build Once And Run) ML is a library that allows you to build abstract machine
learning models and then compile them with popular ML platforms.

The library also implements additional modules for applying mutations to an architecture, support  for  writing  
architectures to a file and reading architectures from a file in a user readable format.

https://pypi.org/project/boarml/

## Installation

`pip install boarml`


## Building instructions

1) Building the package: `python setup.py sdist bdist_wheel`
2) Uploading to PyPi: `python -m twine upload  dist/*`
3) Uploading new versions: `twine upload --skip-existing dist/*`