hyperpy

HyperPy: An automatic hyperparameter optimization framework

Description

HyperPy: Library for automatic hyperparameter optimization. Build on top of Optuna to perform hyperparameter optimization with low code.

This library corresponds to part of the work of Sergio A. Mora Pardo

👶 Our current version:

Installation

You can install hyperpy with pip:

# pip install py-hyperpy

Example

Import the library:

Read library

import hyperpy as hy

Run the optimization:

running=hy.run(feat_X, Y)
study = running.buildStudy()

See the results:

print("best params: ", study.best_params)
print("best test accuracy: ", study.best_value)
best_params, best_value = hy.results.results(study)

NOTE

The function hy.run() return a Study object. And only needs: Features, target. In the example: best test accuracy = 0.7407407164573669
feat_X: features in dataset
Y: target in dataset

IMPORTANT

At moment only solves binary clasification problems.

Documentation

Documentation is available at hyperpy

Working on tutorial, meanwhile explore documentation.

Development

Source code is available at hyperpy

Contact

The package name is in used. So to install:

pip install py-hyperpy

Example

Import the library:

import hyperpy.core as hy
from hyperpy.util import ExampleConfig # Just for example

Reading data:

data=ExampleConfig()
train, test, sub = data.readData()

Extract features:

feat_X = train.filter(['Pclass','Age', 'SibSp', 'Parch','Fare']).values
Y = train.Survived.values

Run the optimization:

running=hy.run(feat_X, Y)
study = running.buildStudy()

See the results:

print("best params: ", study.best_params)
print("best test accuracy: ", study.best_value)
best_params, best_value = hy.results.results(study)

Source code(tar.gz)
Source code(zip)
py-hyperpy-0.0.3.tar.gz(3.37 KB)
py_hyperpy-0.0.3-py3-none-any.whl(3.15 KB)

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v0.0.5(Oct 12, 2021)
Changelog:

Fix documentation: HyperPy

Source code(tar.gz)
Source code(zip)
py-hyperpy-0.0.5.tar.gz(6.28 KB)
py_hyperpy-0.0.5-py3-none-any.whl(6.68 KB)
v0.0.4(Oct 12, 2021)
Changelog:

Build init.py

library import was made easier

Full Changelog: https://github.com/sergiomora03/py-hyperpy/compare/v0.0.3...v0.0.4
Source code(tar.gz)
Source code(zip)
py-hyperpy-0.0.4.tar.gz(6.24 KB)
py_hyperpy-0.0.4-py3-none-any.whl(6.65 KB)

HyperaPy: An automatic hyperparameter optimization framework ⚡🚀

Related tags

Overview

hyperpy

Description

Installation

Example

Documentation

Development

Contact

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