V0.3.3

[wilsonrljr]

CONTRIBUTORS

• wilsonrljr
• GabrielBuenoLeandro
• samirmartins

CHANGES

• The update v0.3.3 has been released with additional features, API changes and fixes.

• MAJOR: Multiobjective Framework: Affine Information Least Squares Algorithm (AILS)

  • Now you can use AILS to estimate parameters of NARMAX models (and variants) using a multiobjective approach.
  • AILS can be accessed using from sysidentpy.multiobjective_parameter_estimation import AILS
  • See the docs for a more in depth explanation of how to use AILS.
  • This feature is related to Issue Multi objective parameter estimation #101. This work is the result of an undergraduate research conducted by Gabriel Bueno Leandro under the supervision of Samir Milani Martins and Wilson Rocha Lacerda Junior.
  • Several new methods were implemented to get the new feature and you can check all of it in sysidentpy -> multiobjective_parameter_estimation.

• API Change: regressor_code variable was renamed as enconding to avoid using the same name as the method in narmax_tool regressor_code method.

• DATASET: Added buck_id.csv and buck_valid.csv dataset to SysIdentPy repository.

• DOC: Add a Multiobjetive Parameter Optimization Notebook showing how to use the new AILS method

• DOC: Minor additions and grammar fixes.