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
This project aims at strengthening loading, preprocessing as well as adding a
better visualisation package.
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
This project aims at creating the “Photoshop” of TimeSeries.
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.