RegData

A collection of regression datasets.

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() # Loads step function dataset

Features

Simple API for quick benchmarking on various datasets.
Get data in any framework: torch, tensorflow or numpy by setting a global backend.
Scale X and/or y data with MinMaxScaler or StandardScaler.
Get y in squeezed (n,) or unsqueezed (n,1) format.
Perform only mean normalization on y.
Add custom noise to the observations (y).
Get consistent data with fixed random seed.

Plot datasets to have a quick glance

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

Checkout all plots here.

Datasets

from regdata import (
    DellaGattaGene,
    Heinonen4,
    Jump1D,
    MotorcycleHelmet,
    NonStat2D,
    Olympic,
    SineJump1D,
    SineNoisy,
    Smooth1D,
    Step
)

References

Release files for regdata 1.0.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for regdata 1.0.4
File	Size	Uploaded
regdata-1.0.4.tar.gz	431.7 kB	Oct 14, 2021	Details

Release files / regdata-1.0.4.tar.gz

Download URL	regdata-1.0.4.tar.gz
Size	431.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`939d390b7f861e6fd3f6a64334e77913675047e2953175f5957213a9bdfd500b`
BLAKE2b-256 checksum How to use checksums	`e460b415aea9984585216f3e416885105bd9cb8b1e26a7385ed67361cbe6d746`
Upload date	Oct 14, 2021
Uploaded using Trusted Publishing? What is 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`