TS-Impute

The STELAR module for time series imputation.

Overview

TS-Impute is a Python library providing the following functionalities:

• Gap generation
• Imputation
• Train Ensemble Model
• Ensemble model Imputation

Quick start

Please see the provided notebooks.

Installation

TS-Impute needs python version >=3.8 and < 4.0.

Python Module - Local library

TS-Impute, after it is downloaded from here can be installed with:

$ cd TS-Impute
$ chmod +x install_custom_library.sh
$ ./install_custom_library.sh

How to import local library

After you install TS-Impute as a local library you can import it in your python:

import stelarImputation

Docker Instructions

To build the image run:

docker build -t stelarimputation .

To create the container run:

docker run stelarimputation <token> <endpoint_url> <task_exec_id>

Please examine the JSON files in the template_inputs directory to understand the required parameters for each functionality.

License

The contents of this project are licensed under the MIT License.