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CHANGELOG.md

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  • v0.1.0:
    • Implemented necessary features to run together with AixCaliBuHa and EnSTATS
  • v0.1.1:
    • Fixed bugs necessary to work with AixCaliBuHa and EnSTATS and refactor functions based on feedback
  • v0.1.2:
    • Move CalibrationClass to AixCaliBuHa
    • Add scipy.optimize.differential_evolution as an optimizer
  • v0.1.3:
    • Move conversion.py to utils and make preprocessing a direct module
    • Introduce current_best_iterate as a parameter for optimization to ensure that the best solution to a problem is still saved even if an iteration step causes an error
    • Make interrupt of optimization through Keyboard-Interrupt possible
    • Adjust Goals functions to make slicing of multiple time-intervals possible.
  • v0.1.4:
    • Create a tutorial with juypter-notebook
    • Introduce MultiIndex (from pandas) and make TimeSeriesData extend of the standard DataFrame
    • Adjust all classes, most notably Goals. This class will go into AixCaliBuHa, as it is only relevant for Calibrations.
  • v0.1.5:
    • Remove dlib and PyQt5 from setup.py and delete TunerParas.show()
    • Refactor Optimizer so the framework parameter is only necessary to call optimize()
  • v0.1.6:
    • Issue23: Change conversion functions to correctly handle multiheaders
    • Issue24: Add converters and correctly inherit from pd.DataFame in TimeSeriesData
    • Add functions for configuration using yaml
    • Add regex functions for extraction of modelica variables
    • Add option to directly return results as a dataframe using simulateMultiResultsModel.
  • v0.1.7:
    • Issue13: Add an FMU API as simulation api
    • Issue36: Use Python Logging as default logger in all modules
    • Issue38: Fix future warning in pandas loffset
    • Issue39: Add simres from modelicares to avoid version errors with matplotlib.
    • Issue41: Fix inheritance of pd.DataFrame in TimeSeriesData. This also enables converting any single-index df to the required multi-index format (See #37).
    • Issue42: Move TunerParas to AixCaliBuHA
    • Add unit-tests for the dymola-api.
    • Use f-strings only
    • Update setup.py and requirements
    • Use TimeSeriesData in classes as output in the simulation api
  • v0.1.8:
    • Drop support for Python 3.6 (See #44)
      • Breaking changes in pandas forces us to increase the version required
      • Pandas dropped the support for Python 3.6
  • v0.2.0:
    • Prepare JOSS publication. Fixed #48
    • Prepare workshop using new examples. Fixes #49
    • Add multiprocessing to Simulation APIs. Fixed #5
    • Genereal restructuring of examples, tutorials and tests
    • Several new functions for easier access / utility
    • Add inputs option for DymolaAPI
  • v0.2.1:
    • Fix installation error by using scikit-learn instead of sklearn
  • v0.2.2:
    • Allow custom methods in StatisticsAnalyzer
    • Allow structural parameter changes in DymolaAPI
  • v0.2.3:
    • Fix bad import in setup.py
    • Remove requirement for PyTables to enable support on python >3.9 #5
    • Add further save- and load functions for .csv
  • v0.3.0:
    • Add parallelization option for optimization backends
  • v0.3.1:
    • Avoid DType Warning #53
  • v0.3.2:
    • Correct bounds for simulation Variables #56
    • Add script to reproduce simulation studies and store info in an archive #27
  • v0.3.3:
    • Fix memory error for large parameter variations durring multiproccesing #76
    • Add option to set only one savepath for saving files of parameter varaiations #74
  • v0.3.4:
    • Fix reproduction for new pip versions and old Dymola versions #80
    • Add support for the data format parquet with compression options #81
  • v0.3.5:
    • Add simulation time estimation and checking of free hard drive space for saving #86
    • Add saving of directories for reproduction and tests for reproduction functions #87
  • v0.3.6
    • Fix mp issue #95
    • fix tests for newer dependency versions
    • Remove warnings and update frequency if TimeSeriesData
    • Add CI based pypi release
  • v0.3.7
    • Fix setup.py pydantic version
  • v0.3.8
    • Fix sampling error for non-numeric values #69 #102
  • v0.3.9
    • Fix error in loading newer ds-data from Dymola #70
  • v0.3.10
    • Fix fmpy version #109
    • Fix data format for index frequency of tsd #107
    • Fix bug in function clean_and_space_equally_time_series #111
  • v0.3.11
    • Add dymola_exe_path to set of kwargs in DymolaAPI #115
  • v0.3.12
    • Port handling Add dymola_exe_path to set of kwargs in DymolaAPI #118
  • v0.3.13
    • Fixes in simulate options and add Dymola CI tests #28, #113, #117
  • v0.3.14
    • Fix retranslation #121
    • refactor cd to working_directory #61
    • Propagate names of simres to TimeSeriesData to speed up mat-loading
  • v0.4.0
    • Preprocessing functions now copy the input DataFrame by default with the new inplace argument (default False). #125
    • Add inplace option to TimeSeriesData function (default True)
  • v0.4.1
    • fix reproduction with modifiers #82
    • enable model_name=None upon startup of DymolaAPI #130
    • Only create logger handler if not already done by root-logger
  • v0.4.2
    • Do not use chars_to_strings from scipy #132
  • v0.4.3
    • Fix missing .egg for new Dymola release #138
  • v0.5.0
    • Added bayesian-optimization to the possible optimizers #129
  • v0.5.1
    • Add save-logs option for SimulatioAPI #141
    • Minor bug fixes #143