opptimizer 2.3.2

Optimization of hyperparameters for Machine Learning (AI)

opPtimizer

Optimization framework for AI pipelines.

Installation

Install Opptimizer from PyPI

Appropriate for most use cases.

pip install opptimizer

Examples of Usage

Basic Pipeline Example

The following example demonstrates a simple pipeline that extends an input string by adding additional parts through modules mod_1 and mod_2, ultimately returning the combined text.

import opptimizer as op

def mod_1(mod_obj, params, tokenData = None):
    tokenData = tokenData + 'result 1'
    return tokenData

def mod_2(mod_obj, params, tokenData = None):
    tokenData = tokenData + ', result 2'
    mod_obj.setResult(tokenData)

executor = op.Executor(modules = [mod_1, mod_2])
response = executor.run('Results: ')

print(f"{response.get_result()}")

Output:
    Results: result 1, result 2

License

This project is licensed under the Apache License 2.0. You may use, modify, and distribute this software freely, provided that you comply with the terms of the license, which include attribution and a disclaimer of warranties. For the full license text, please see Apache License 2.0.