Metadata-Version: 2.4
Name: mlsampler
Version: 0.3.3
Summary: Flexible constrained random sampler for reverse analysis in machine learning
Author: Jugai O
License: LICENSE
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: joblib
Dynamic: license-file

# RandomSampler

mlsampler is a flexible, constraint-aware sampling library designed for reverse analysis and data exploration in machine learning workflows.

It allows you to generate synthetic samples that satisfy complex constraints across continuous, integer, binary, and categorical features.

## Features
- Constraint-based sampling
- Support for continuous / categorical features
- Parallel generation

## Documentation
https://jugais.github.io/randsampler/

## Installation

```bash
pip install mlsampler
```

## Use Cases
- Reverse analysis (finding inputs that satisfy target conditions)
- Candidate generation for optimization
