AutoTSF

Automated time-series forecast pipeline with state-of-art machine learning and deep learning algorithm. 🚀🚀🚀

Installation

Use the package manager pip to install AutoTSF.

$ pip install autotsf

Getting Started

from autotsf import AutoTSF               # Import

auto_tsf = AutoTSF()                      # Initialization
auto_tsf.train(data)                      # automated feature engineering and model training
pred_df = auto_tsf.predict(num_steps=7)   # one week forecast

Authors

Kailing Ding - Github
Yuxuan Fan - Github
Jerry Chan
Shen Hu
Jeffrey Chen

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE file for details

Release files for Autotsf 0.0.8

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

Source distribution (sdist)

Source distribution for Autotsf 0.0.8
File	Size	Uploaded
Autotsf-0.0.8.tar.gz	12.8 kB	May 31, 2020	Details

Built distribution (wheel)

Table of built distributions (wheels) for Autotsf 0.0.8
File	Interpreter	ABI	Platform	Reset
Autotsf-0.0.8-py3-none-any.whl 20.9 kB May 31, 2020	Python 3	none	any	Details

Total release size: 33.7 kB

Release files / Autotsf-0.0.8.tar.gz

Download URL	Autotsf-0.0.8.tar.gz
Size	12.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`cb858e634f6a6ac5e37d7b6d44bc3d6b998b291fe53aa692b6dde1eff5bbb3ea`
BLAKE2b-256 checksum How to use checksums	`0e11f5d093c2daf23ea48c84739d70de42ea601abeb94fcfe7e375d7b24395b5`
Upload date	May 31, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.2`

Release files / Autotsf-0.0.8-py3-none-any.whl

Download URL	Autotsf-0.0.8-py3-none-any.whl
Size	20.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`745ee34aeaf5fb5bc5433061d5d9c29bfffd24813c6f9e1b7277751b3c3bca28`
BLAKE2b-256 checksum How to use checksums	`015b7d5dddffee4464e379af4f9e3d0ca178add3d40041599b2feee851adc38d`
Upload date	May 31, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.2`