Changelog#

0.2.2 (2024-07-17)#

New:

Added support for the postprocessing of custom volume of point cloud. Use Geometry.upload_point_cloud to upload a point cloud file on a geometry and run the post processing through Prediction.post.custom_volume_point_cloud to run the postprocessing.

Fix:

Remove internal uses of deprecated workspace.model

0.2.1 (2024-06-28)#

Fixes:

Fixed bug that was crashing method ModelConfiguration.compute_global_coefficient(). The result of the Global Coefficient formula can now be retrieved.

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:

Added new method TrainingData.assign_subset() that allows you to assign a Train, Validation, or Test subset to your data.

Fixes:

The method Optimization.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