Hovercraft-like machine learning
Project description
Hover
Hover
is a machine learning dev-time-helper library that enables smooth and effective supervision. In other words, it's an interface where you hover over and label your data.. differently. For instance, you can:
- :seedling: annotate an intuitively selected group of data points at a time Source
- :ferris_wheel: UPCOMING throw a model in the loop and exploit all kinds of active learning Source
- :whale: UPCOMING cross-check with Snorkel-based distant supervision Source
Check out @phurwicz/hover-binder for a complete list of demo apps.
Installation
To get the latest release version, you can use pip:
pip install hover
Installation through conda
is not yet supported.
Resources
Developer
./requirements.txt
lists the installation requirements../requirements-dev.txt
is for developers.
Project details
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
hover-0.1.6.tar.gz
(23.1 kB
view details)
Built Distribution
hover-0.1.6-py3-none-any.whl
(29.2 kB
view details)
File details
Details for the file hover-0.1.6.tar.gz
.
File metadata
- Download URL: hover-0.1.6.tar.gz
- Upload date:
- Size: 23.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.1.post20200323 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.6.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | aee6f63584b5c8598e99ab089e8310b363af1d9fb044bdbbe89d742676e0d9d6 |
|
MD5 | e23fc9f3727901f1652a3fceabfb342c |
|
BLAKE2b-256 | 4e498c8fb51ea545748ef6d71616833a083633e54bec25b6300814ff3aceb0af |
File details
Details for the file hover-0.1.6-py3-none-any.whl
.
File metadata
- Download URL: hover-0.1.6-py3-none-any.whl
- Upload date:
- Size: 29.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.1.post20200323 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.6.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | def68d679f2de3b7a9e7eca65412b361eee41db0f20705c88c391259b03407ae |
|
MD5 | 4b0968f170ca857bdc82577e1ceb7581 |
|
BLAKE2b-256 | 102711f9820aa11f66db31f558330da1d86f12b45b5a2380d11eef3b2b6e56ad |