A library for detecting critical data slices in structured and unstructured data based on features, metadata and model predictions.
Project description
sliceguard
Detect problematic data slices in unstructured and structured data – fast.
🚀 Introduction
Sliceguard helps you to quickly discover problematic data segments. It supports structured data as well as unstructured data like images, text or audio. Sliceguard generates an interactive report with just a few lines of code:
from sliceguard import SliceGuard
sg = SliceGuard()
issues = sg.find_issues(df, features=["image"])
sg.report()
⏱️ Quickstart
Install sliceguard by running pip install sliceguard[all].
Go straight to our quickstart examples for your use case:
- 🖼️ Unstructured Data (Images, Audio, Text) – 🕹️ Interactive Demo
- 📈 Structured Data (Numerical, Categorical Variables) – 🕹️ Interactive Demo
- 📊 Mixed Data (Contains Both) – 🕹️ Interactive Demo
🗺️ Public Roadmap
We maintain a public roadmap so you can follow along the development of this library.
Release history Release notifications | RSS feed
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 sliceguard-0.0.35.tar.gz.
File metadata
- Download URL: sliceguard-0.0.35.tar.gz
- Upload date:
- Size: 32.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1d346add43c1928ea7f55d153dda14ed60bb461cb884f1b73f58bebc04f632e0
|
|
| MD5 |
8e4cfc795d2c51f0409c9cda8bbc24e1
|
|
| BLAKE2b-256 |
cab6a3c98772586f2de36b0937d183a32cdadd07cd2a9314ad59900fc2321fdb
|
File details
Details for the file sliceguard-0.0.35-py3-none-any.whl.
File metadata
- Download URL: sliceguard-0.0.35-py3-none-any.whl
- Upload date:
- Size: 31.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
23c9b6c74fb4c4489f550f40e0f6cfdbfb4c1fb172850d7cf2620a8fc290c498
|
|
| MD5 |
e593be3b8f550f60279e15f6ec032a4f
|
|
| BLAKE2b-256 |
64894f715c0d31b4564cee1cc8cca112d537eac425713b5de5adbc52fe9d37ba
|
