tsai 0.0.4

Practical Deep Learning for Time Series / Sequential Data library based on fastai v2/ Pytorch

tsai

Practical Deep Learning for Time Series / Sequential Data library based on fastai v2/ Pytorch.

tsaiis a deep learning library built on top of fastai v2 / Pytorch focused on state-of-the-art methods for time series classification and regression.

Install

You can install the latest stable version from pip:

pip install tsa

Or you can install the bleeding edge version of this library from github by doing:

pip install git+https://github.com/timeseriesAI/timeseriesAI.git@master

In the latter case, you may also want to use install the bleeding egde fastai & fastcore libraries, in which case you need to do this:

pip install git+https://github.com/fastai/fastcore.git@master

pip install git+https://github.com/fastai/fastai2.git@master

How to use

The only thing you need to do after you have installed the library is to add this to your notebook:

from tsai.all import *

To get familiarized with the library, I'd suggest you start with this notebook:

01_Intro_to_Time_Series_Classification

It provides an overview of a time series classification problem using fastai v2.