Skip to main content

Loaders for classic datasets commonly used in Machine Learning

Project description

Classic Datasets

Loaders for classic datasets commonly used in Machine Learning:

Name # Samples # Features # Classes
Ionosphere 351 34 2
Letter Recognition 20000 16 10
Telescope 19020 10 2
Pen Digits 10992 16 10
Robot Navigation 5456 24 4
Segmentation 2310 16 7
USPS 9298 256 10

Installation

pip install classicdata

Run python -m classicdata.info to list all implemented datasets.

Example Usage

from classicdata import Ionosphere

ionosphere = Ionosphere()

# Use ionosphere.points and ionosphere.labels...

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

classicdata-0.1.0a2.tar.gz (10.9 kB view details)

Uploaded Source

Built Distribution

classicdata-0.1.0a2-py3-none-any.whl (13.8 kB view details)

Uploaded Python 3

File details

Details for the file classicdata-0.1.0a2.tar.gz.

File metadata

  • Download URL: classicdata-0.1.0a2.tar.gz
  • Upload date:
  • Size: 10.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.5.0 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5

File hashes

Hashes for classicdata-0.1.0a2.tar.gz
Algorithm Hash digest
SHA256 5b7c09987ce3c89ca30d55c1142d5f7b44cde819a532383bc0c0ac439fd31b9d
MD5 c9389c49e5d88d6b15006245624fd9ef
BLAKE2b-256 5e061a9ab8cfa6943d4638bc840c2af1fddcb3e7ec097674272eed9c8926bf7a

See more details on using hashes here.

File details

Details for the file classicdata-0.1.0a2-py3-none-any.whl.

File metadata

  • Download URL: classicdata-0.1.0a2-py3-none-any.whl
  • Upload date:
  • Size: 13.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.5.0 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5

File hashes

Hashes for classicdata-0.1.0a2-py3-none-any.whl
Algorithm Hash digest
SHA256 2cf26f662d96cc55c436cd995a0a1ea94a379039a1faa39ef57c935f798a7dde
MD5 6ecfff8d7ad1b6fa7b53205546c99afd
BLAKE2b-256 4a8c7c7e9450e29fab298bfb9445bed857cadabb231727dd14232006c8f7bc5c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page