Implements several boosting algorithms in Python (in particular, KTBoost, Grabit, and Newton boosting)
Project description
KTBoost
This package implements several boosting algorithm. In particular, this includes the KTBoost algorith, the Grabit algorithm, as well as Newton boosting. The package is an extenion of scikit-learn and re-uses code from scikit-learn.
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file KTBoost-0.0.3.tar.gz.
File metadata
- Download URL: KTBoost-0.0.3.tar.gz
- Upload date:
- Size: 1.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
76bda1602023439b10edb431af80e3b0e3b744fa0e1f1b08aeabb60cbba2e7db
|
|
| MD5 |
f875fc7e77c46320b92fbcba97fc5515
|
|
| BLAKE2b-256 |
c9a8d3230f9f04f080a34854689b0bb2c9b1e727583be8c99938f0b845dfd09a
|
File details
Details for the file KTBoost-0.0.3-py2-none-any.whl.
File metadata
- Download URL: KTBoost-0.0.3-py2-none-any.whl
- Upload date:
- Size: 2.1 kB
- Tags: Python 2
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c1481204cc19462ed8621f8157d6fe950368051cc14a574afbd7a5d4ca907a1c
|
|
| MD5 |
f973e313c3127120620fa5daa0365796
|
|
| BLAKE2b-256 |
7a32e0372879018bd0eea8968f291a356e08f248ff7a2449650a95aa045b9986
|