tsregressor

sklearn type package for time series regression i.e. using lagged time features and exogenous variables to estimate a target in the future

Release files for tsregressor 0.1.0

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

Source distribution for tsregressor 0.1.0
File	Size	Uploaded
tsregressor-0.1.0.tar.gz	77.8 kB	Jul 1, 2021	Details

Table of built distributions (wheels) for tsregressor 0.1.0
File	Interpreter	ABI	Platform	Reset
tsregressor-0.1.0-py3-none-any.whl 3.0 kB Jul 1, 2021	Python 3	none	any	Details

Total release size: 80.7 kB

Download URL	tsregressor-0.1.0.tar.gz
Size	77.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`4ff9c040400378286d39bcb7ed7578498c0ae985937a40ed8bd9df2d23df9b8b`
BLAKE2b-256 checksum How to use checksums	`25cd26993148277884fd5b4bbd74040cc532d63fc4add1af673115f52fb82eb5`
Upload date	Jul 1, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6`

Download URL	tsregressor-0.1.0-py3-none-any.whl
Size	3.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`8e770a41de59161be598b4669b7db49263d047ff475d15d88047b140332648bc`
BLAKE2b-256 checksum How to use checksums	`14d67e503a82adb73315192f055c6ef8dfda7b514db50a0eb96d34985218a769`
Upload date	Jul 1, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6`

This release

0.1.0 This release