fall
A python package for online (streaming) machine learning, focusing on enabling a modular approach to developing, implementing and evaluating adaptive learning systems.
Please refer to the package homepage for more information and documentation. Please refer to the binder link for interactive examples.
1 maintainer
Release files for fall-ml 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fall-ml-0.0.1.tar.gz | 59.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fall_ml-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 135.3 kB
Release files / fall-ml-0.0.1.tar.gz
| Download URL | fall-ml-0.0.1.tar.gz |
|---|---|
| Size | 59.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d1017b6bf4bc971b01ed82fb3a822ef5f4daf814cdfb1e74307b5212670a4699
|
|
BLAKE2b-256 checksum How to use checksums |
6e73dbeb50ee7b2162f10a1e998e05ae1d0ac7f51792250621dd7c35f78436c6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.13
|
Release files / fall_ml-0.0.1-py3-none-any.whl
| Download URL | fall_ml-0.0.1-py3-none-any.whl |
|---|---|
| Size | 76.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
14a6c3abe0ac2d2de75592a9932e70e1597cb33f290e0433ed56eac796d02c2a
|
|
BLAKE2b-256 checksum How to use checksums |
60a3d2b41d36abf764901461862a8f14066edc0caf413268d04fce4f6544f09e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.13
|
