Flexible constrained random sampler for doe sampling or reverse analysis in machine learning
Project description
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
pip install mlsampler
Use Cases
- Reverse analysis (finding inputs that satisfy target conditions)
- Candidate generation for optimization
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mlsampler-0.3.4.tar.gz.
File metadata
- Download URL: mlsampler-0.3.4.tar.gz
- Upload date:
- Size: 11.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
732b34d3178fe3ba7f62d6abd4e3ea403e0b9158fbb5e1384e6a07e9de00b725
|
|
| MD5 |
bb9c2e4583803a05624e9f7e4fcabb35
|
|
| BLAKE2b-256 |
4c104b132a7079c0dc879bf3e49556d8a96b4d800bcd4de8b02a7ea62396ffc6
|
File details
Details for the file mlsampler-0.3.4-py3-none-any.whl.
File metadata
- Download URL: mlsampler-0.3.4-py3-none-any.whl
- Upload date:
- Size: 14.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a9d1cdc8b0fc24369dc452a9379ff08d4280b7750c8764ab227fe38bb7bad354
|
|
| MD5 |
5a47a4e38f47c3f81d17721349a2bcd7
|
|
| BLAKE2b-256 |
6be35327f4ea85de28e991e3c2023674dffbc1b2188aa975612bad7406ec8d28
|
