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: 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
Built Distribution
File details
Details for the file hover-0.1.3.tar.gz
.
File metadata
- Download URL: hover-0.1.3.tar.gz
- Upload date:
- Size: 19.4 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 | 7b2a0e13868f4c483817b897bfed60a0375299e941fe453d41c5a6fbdd9168e9 |
|
MD5 | 8dc6cc715f4a4d398ac254b946cdc7a5 |
|
BLAKE2b-256 | ca04ef22cf4572a22b9773b4855058af39bfd60cbac323dab2f993ecf1353aac |
File details
Details for the file hover-0.1.3-py3-none-any.whl
.
File metadata
- Download URL: hover-0.1.3-py3-none-any.whl
- Upload date:
- Size: 24.4 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 | 7cf346b53d4b7f534da16a344496eeb8101179975b5202540f16d6d1e8a9a72e |
|
MD5 | 12a62ebadf7035272d305415ef72c501 |
|
BLAKE2b-256 | 627d1cd9ed3c1bd484c65a074178f0ac49240dc3e10ee2033d48678f685b96a6 |