Memory-efficient, dense, random projection of sparse vectors
Project description
The author of this package has not provided a project description
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pocket_dimension-0.1.2.tar.gz
(26.8 kB
view details)
Built Distribution
File details
Details for the file pocket_dimension-0.1.2.tar.gz
.
File metadata
- Download URL: pocket_dimension-0.1.2.tar.gz
- Upload date:
- Size: 26.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3ba83ecbc4f3024cb695b30369798728dc0ee533cbf418a66fb9d1decb139509 |
|
MD5 | 0417556f34e9dc72e79b946b0622c4c7 |
|
BLAKE2b-256 | 23a30b43979e4bd35816657cd778309a039fad321c636dd73b59e50a0764fa4b |
File details
Details for the file pocket_dimension-0.1.2-py3-none-any.whl
.
File metadata
- Download URL: pocket_dimension-0.1.2-py3-none-any.whl
- Upload date:
- Size: 24.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 80691ba48016844eb8733f82628e62134374b289f8cbfa3656daea2549137e21 |
|
MD5 | ad5f1a67c421b9632d74f72ac64c5f35 |
|
BLAKE2b-256 | 166419643bbe8bac6d79da2db7726372d9fbc98059f77e8abd30f0e55db65484 |