Skip to main content

A collection of regression datasets

Project description

RegData

CI Coverage Status

Collection of regression datasets.

  • Get data in any framework: torch, tensorflow or numpy

Install

pip install regdata

Quick example

import regdata as rd
rd.set_backend('torch') # numpy, tf (numpy is default)
X, y, X_test = rd.Step().get_data()

Plot datasets to have a quick glance

import regdata as rd
rd.Olympic().plot()

Checkout all plots here.

Datasets

from regdata import (
    Step,
    Olympic,
    Smooth1D
)

References

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

regdata-0.1.8.tar.gz (53.1 kB view details)

Uploaded Source

File details

Details for the file regdata-0.1.8.tar.gz.

File metadata

  • Download URL: regdata-0.1.8.tar.gz
  • Upload date:
  • Size: 53.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for regdata-0.1.8.tar.gz
Algorithm Hash digest
SHA256 287bc5a3f95a17e74cdfa3e1497fe08e6fa7cf9ad7c67c2e3d7545d489ec23c0
MD5 6f2f9b2150c930a7cd3d892a7e629a02
BLAKE2b-256 8766c7127091aea18ae46bb1e1b2df0f6061ae542c35c0e3f1af0eb119c19f90

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