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Releases: nasa/prog_server

Release v1.6

25 Oct 22:44
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Version 1.6

  • Updated dependency to new ProgPy package

prog_server v1.5

29 Jun 15:39
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Version 1.5

  • Support for python3.11

prog_server v1.4.0

28 Oct 16:21
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Release v1.4.0

  • Added new endpoint (GET /api/v1/session/{id}/model) and client function (prog_client.Session.get_model()) to get the model from the server.
  • Updated to support prog_models and prog_algs v1.4
  • Various bug fixes and performance improvements

Acknowledgements

This release includes contributions from NASA's Autonomous Spacecraft Operations (ASO), Data and Reasoning Fabric (DRF), System Wide Safety (SWS), and Transformative Tools & Technologies (TTT) projects. Thank you for your support!

prog_server v1.3

14 May 00:41
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Release v1.3

prog_server

  • Added ability to set state using pickled prog_algs.uncertain_data.UncertainData type

prog_client

  • Added new set_state method

Acknowledgements

This release includes contributions from NASA's Autonomous Spacecraft Operations (ASO) and Data and Reasoning Fabric (DRF) projects. Thank you for your support!

v1.0.0: Initial Release

18 Jan 23:42
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Introducing the NASA Prognostics As-A-Server (PaaS) Sandbox Package. The NASA Prognostics As-A-Service (PaaS) Sandbox is a simplified implementation of a Software Oriented Architecture (SOA) for performing prognostics (estimation of time until events and future system states) of engineering systems. The PaaS Sandbox is a wrapper around the Prognostics Algorithms Package and Prognostics Models Package, allowing one or more users to access the features of these packages through a REST API. The package is intended to be used as a research tool to prototype and benchmark Prognostics As-A-Service (PaaS) architectures and work on the challenges facing such architectures, including Generality, Communication, Security, Environmental Complexity, Utility, and Trust.