Roadmap

2020 - v0.1 - Initial Feature Set

GitHub Project

Goals

  • Provide a set of data structures specialised for time series

  • Define a standard IO methodss

  • Provide a set of methods and plots to handle, process and explore time series

dataset.

2020 - v0.2 - Consolidation

GitHub Project

Goals

This project aims at strengthening loading, preprocessing as well as adding a better visualisation package.

2020 - v0.3 - Modelling, Validation and Detection

GitHub Project

Goals

This project aims at keeping track of the ongoing models and detectors implementations as well as validation methods. Including :

  • a set of models allowing for prediction, classification, clustering

and other machine learning tasks on time series * standard methods for time series predictions * a set of methods and plots to validate the quality of a model * a set of models allowing for anomaly detections

2021 - v0.4 - Editor

GitHub Project

Goals

This project aims at creating the “Photoshop” of TimeSeries.

2021 - v1.0 - Improve and Publish

GitHub Project

Goals

This project aims at creating publication and reporting tools to share the results with others. For instance :

  • Provide a way to publish models e.g. on Kubernetes,

  • using data from BBData to get an API giving you the prediction,

  • Allow for retraining of the model from the API.