Release Version 2.13

Models

  • Added these new options for “sigmoidFunction” in LogisticRegression’s new() constructor:

    • HardSigmoid

    • SoftSign

    • Swish

    • ArcTangent

    • Swish

    • BipolarSigmoid

  • All models now initialize ModelParameters when calling predict() function.

  • NearestCentroid model now returns cost array when calling train() function.

  • All of the models’ divergence warning is now only printed when “isPrintOutput” parameter is true in BaseModel’s new() constructor.

  • All models now print nan (not a number) value warning when “isPrintOutput” parameter is true in BaseModel’s new() constructor.

  • Optimized KMedoids by reducing the amount of calculation needed to calculate the cost.

Cores

  • Added DistanceFunctionDictionary and ZTableFunction.

Quick Setups

  • Fixed a bug where calling reset() function from ReinforcementLearningBaseQuickSetup gives an error.

All

  • The error messages now screams at you less.