Changelog#

0.2.5 (2024-11-05)#

New:

Changes:

  • Optimization.run() is now Optimization.run() and checks that the generation function has a suitable signature

  • Remove deprecated design of experiments feature

  • Resolution steps are now printed upon error if any

Fixes:

  • Correct payload for surface post-processing inputs on model build

0.2.4 (2024-09-23)#

New:

  • Auth tokens are now cached in file system and get re-authenticated in a parallel fashion.

  • Invalid refresh token now triggers a reauth instead of crashing.

  • build_preset option in ModelConfiguration can now be one of debug, 1_day, 2_days, 7_days.

  • Model Evaluation Report data (csv file) can now be downloaded with download_mer_data.

  • Typing improvements; introducing JSON type is introduced and APIResponse type is updated to include JSON type.

  • New property Prediction.raw_confidence_score is added to Prediction, which returns the raw confidence score.

Fix:

  • Fixed the error where data was not in coordinance with the BE response. data now runs without errors.

0.2.3 (2024-08-21)#

New:

  • Added PostProcessInput class to define post processing input fields.

  • Added support for NaN and Inf for Global Coefficients and Post Processings.

Fixes:

  • Removed compute argument from TrainingData.upload_folder()

  • Fixed Model Configuration to raise a ProcessingError when volume field is missing from a sample specifying volume output.

  • Removed wakepy error mode success (deprecated) during optimization.

  • Renamed TrainingData method compute() to TrainingData.extract_data().

  • Updated documentation of GeometryDirectory.upload(): the workspace_id argument was moved to workspace but never updated.

0.2.2 (2024-07-17)#

New:

Fix:

  • Remove internal uses of deprecated workspace.model

0.2.1 (2024-06-28)#

Fixes:

0.2.0 (2024-06-28)#

New:

  • Model configuration can now be created from scratch and be used in training requests.

  • Training-data subsets can now be assigned to None. Options Ignored and Validation are retired.

Fixes:

  • Fixed bug when uploading large files. Large files can now be uploaded.

  • Fixed bug when listing prediction without current_workspace being set.

0.1.7 (2024-04-30)#

New:

  • Added DomainOfAnalysis class to help set the domain of analysis on a new model.

  • Add workspace option where we previously relied only on the global workspace

  • Add prediction.post.list()

Fixes:

  • Reestablish python 3.9 compatibility.

  • Bump wakepy lib to fix errors when not able to prevent sleep during optimization.

0.1.6 (2024-04-25)#

New:

Fixes:

  • The method Optimization.run()<ansys.simai.core.data.optimizations.OptimizationDirectory.run> now raises an exception if no workspace is provided and none is configured.

  • Fix RecursionError on authentication refresh

0.1.5 (2024-04-15)#

  • Training can now be launched using the most recent model configuration from a project.

  • Enabled non-interactive mode capability, allowing for automation or operations without manual inputs.

  • Added new validation Project.is_trainable() to verify if the project meets all minimum requirements for training.

  • Added new method Project.get_variables() to get all available variables used for a model’s inputs and outputs.

  • Fixed bug where a subset of training data could not be pulled. A subset of training data is now correctly retrieved.

  • Fixed erroneous call to a private function during the optimization run.

0.1.4 (2024-02-26)#

  • Less verbose sse disconnects

  • Fix client config vars being described two times

  • Fix type/KeyError in workspace.model.post_processings

  • Fix monitor_callback interface not respected in upload_file_with_presigned_post

  • Fix README indentation

0.1.3 (2024-02-02)#

Fix config args not taken into account if a config file is not found

0.1.2 (2024-01-24)#

Fix training data upload_folder method

0.1.1 (2024-01-19)#

Fix badges

0.1.0 (2024-01-19)#

Initial release

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