CUR Decomposition
CUR Decomposition as described in Mining of Massive Datasets, page 406.
Currently it only works with Numpy arrays but the point of CUR is to keep C and R sparse if M is sparse so I plan to add support for Scipy Sparse arrays.
Usage
M = np.array([ ... ])
r = int
from cur import cur_decomposition
C, U, R = cur_decomposition(M, r)
1 maintainer
Metadata
1 maintainer
Release files for cur 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cur-0.0.2.tar.gz | 3.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cur-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.3 kB
Release files / cur-0.0.2.tar.gz
| Download URL | cur-0.0.2.tar.gz |
|---|---|
| Size | 3.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
766463980be480c336f1598d7e2e3eafe1400b4e2aac5bd0592debb1f5343eb6
|
|
BLAKE2b-256 checksum How to use checksums |
2ce830ec73fe60516751405956db94582ef0f91e23836fbd2c1eb846e957e1a5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.5
|
Release files / cur-0.0.2-py3-none-any.whl
| Download URL | cur-0.0.2-py3-none-any.whl |
|---|---|
| Size | 3.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a42dd0a224ee8dc223949e7c05573448c47f7f875f4b91e7ff20e693b2149871
|
|
BLAKE2b-256 checksum How to use checksums |
806791a57cd9cb14c1fc559c956d67346d93018eb7d77c24e3ee8328871dfc2a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.5
|
