Fetcher for LIBSVM datasets
Project description
A python util to fetch datasets from the LIBSVM website.
Getting design matrix and target variable is as easy as:
from libsvmdata import fetch_libsvm
X, y = fetch_libsvm("news20.binary")
Currently supported datasets are in libsvmdata.supported.
The datasets are saved in a subfolder libsvm inside libsvmdata.datasets.DATA_HOME, whose value is:
the environment variable LIBSVMDATA_HOME if it exists,
else, the environment variable XDG_DATA_HOME if it exists,
else, $HOME/data.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
libsvmdata-0.4.1.tar.gz
(7.3 kB
view details)
Built Distribution
File details
Details for the file libsvmdata-0.4.1.tar.gz.
File metadata
- Download URL: libsvmdata-0.4.1.tar.gz
- Upload date:
- Size: 7.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a5e97193e73d5c1aed6180d17f7f2a09b8537a04d8062979d7b1b887d30bf9d5 |
|
| MD5 | 1971a69fec202ad156f8ea49093237d3 |
|
| BLAKE2b-256 | 19e87096de3295058c5f227d122e298d86c1834b75721885660e82814172db05 |
File details
Details for the file libsvmdata-0.4.1-py3-none-any.whl.
File metadata
- Download URL: libsvmdata-0.4.1-py3-none-any.whl
- Upload date:
- Size: 7.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 203d72aece603a1fc93362adacd67c6d3543ef1a7a49c5bf08c48e1f77969dfd |
|
| MD5 | 72d29065eb8940ac781be6f20349793a |
|
| BLAKE2b-256 | f938e2d64862f9d7c6e761f6d61ee9cd11badc98abd484f28a5dfb0310489334 |
