Release notes

Version 10.14



  • Object detector : - Migration from YoloV3 to YoloV5 and improvements of object detector uses cases - Target file can now be load for object detector prediction in order to have a prediction score
  • Time series : - Rules of time series are now displayed in the interface of use case creation - Derivation and forecast windows fields are now easier to fulfill thanks to auto completion and restriction according to time series rules
  • Administration : - CPU, RAM and notebook lifetime can now be defined up by admins
  • Versioning : - Models can now be identified as deployable. In the store, the list of deployable models is now the one identified in the studio as deployable
  • Reporting : - Report of use case models can be now generated trough the use case page
  • Feature importance : - Feature importance of a model are now paged 10 by page - You can also search a feature and sort the features by importance
  • DAG : - The DAG of a use case is now more detailed
  • Other features : - When new version of a use case is created, the type of training is no longer editable - Feature grades have now an explanation in the interface - In the model page, all feature engineering used by this models are now displayed, even the internal ones
  • Bug fixes : - Difference between top bar and use case page about best performance calculation - Bug regarding object detector use cases and the « filename » name column - Train a classification using error_rate_binary metric created an error



  • Object detector : - Object detector use cases can now be deploy from the studio to the store
  • Other features : - List of deployable models is now limited to identified models in the studio - Private GIT repositories are now identified with a lock icon
  • Bug fixes : - Status display not « running » when a use case is deployed - Fields of a new app versioning where not pre filled when using GitHub

Version 10.13

Release date: 2020-10-22



  • User interface of models selection : Users choices regarding model selection in advanced options during the creation of a use case are now extended.
  • FastText : First NLP treatments are coming in platform. Text roles features of a use case can now be optimized using NLP algorithm
  • Image Detector use cases : migration to YoloV5 treatment allowing a better treatment for image detector use cases
  • UX/UI improvements

Bug fixes

  • Fix of a display issue regarding number format depending on user interface language
  • Lack of some calculated feature grades
  • F1 score calculation of a model is now based on the optimal threshold value
  • Fix of graphical display regarding bivariate analysis



  • Webapp and notebook versioning : creation of new version of an already existing web app and notebook
  • Access to private GitLab repo : SSO connexion to GitLab
  • Build and deploy logs are now available for webapps
  • application list of allowed user is now editable

Bug fixes

  • Some field were not typed producing errors when fulfill with wrong type of data
  • fix regarding an issue affecting all user of an instance instead of the user selected

Version 10.12

Release date: 2020-10-08

  • Feature engineering importance
  • Deployed Model SDK

Version 10.10

Release date: 2020-09-11

  • Free trial version
  • New interface for deployed usecases

Version 10.9

Release date: 2020-08-20

  • New Studio homepage
  • New Studio help page

Version 10.8

Release date: 2020-08-06

  • SDK: Add versioning & sharing methods
  • Add embedded support in store and studio through Zendesk

Version 10.7

Release date: 2020-07-23

  • Connectors for Google Cloud Platform Buckets and BigQuery
  • Advanced analytics for time series datasets
  • Public mode for app deployment in store
  • Subdomain URL mode for app deployment in store
  • Add the capability to define environment variables when deploying apps in stores

Version 10.6

Release date: 2020-07-09

  • Various improvements for apps deployment in store
  • Better handling of very large datasets (> 10k columns)

Version 10.5

Release date: 2020-06-25

  • Optimizations & bug fixes
  • Model and app deployment is now entirely located in the store

Version 10.4

Release date: 2020-06-11

  • Detailed statistics and analyses for datasets accessible from the data page

Version 10.3

Release date: 2020-05-28

  • Usecase versioning

Version 10.1

Release date: 2020-04-10

  • Create a new usecase from an existing one
  • Simple models updated in order to match classical model analytics
  • R & Python packages updated + new packages availlable for development environment

Version 10.0

Release date: 2020-03-05

  • New graph-based usecase training monitoring
  • Update scheduler page

Version 9.7

Release date: 2020-02-20

  • Update notebook page to include current CPU & RAM usage
  • Update and relocate administration page (now in top-right menu)
  • Access data explorer from data screen

Version 9.6

Release date: 2020-02-06

  • Change and relocate main menu to top bar
  • Start usecase from data screen
  • Update contact page

Version 9.5

Release date: 2019-12-19

  • Refactoring of the main dashboard screen
  • Refactoring of the usecase screen, including new analytics
  • R & Python packages updated to matchs usecase APIs
  • Improved explain screen stability when simulating predictions
  • Added support of object detection usecase with CPU only (might take some computing time)
  • Feature quality estimation

Version 9.4

Release date: 2019-10-04

  • Refactoring of the data screen
  • R & Python packages updated to matchs data screen APIs
  • Improved rules of detection of typical columns (ID, TARGET, FOLD, WEIGHT)
  • Improved explain screen stability when values are missing
  • Improved date columns parsing in a dataset that handles multiple time zones
  • Faster prediction time retrival when listing a high number of predictions
  • Creation of an open data base with accessible data for special days (holidays, public days, sales, …) and for weather data

Version 9.3

Release date: 2019-08-14

  • Refactoring of the new use case screen
  • R & Python packages updated to matchs new use case APIs
  • Refactoring of APIs. Documentation available @ (xxx = instance name)
  • Creation of instance specific’s store, visible @ (xxx = instance name)
  • Optimisation of training time for gradient boosting trees models