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CHANGELOG.md

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AutomationLabsIdentification Changelog

v0.2.8

  • Add extract_models.jl with get_mlj_model_type and extract_model_from_machine methods.

v0.2.7

  • Modification of DenseNet neural networks sub-layers name.

v0.2.6

  • Type neuralode modification.
  • Add name on neural networks sub-layers.
  • Tests improvement.

v0.2.5

  • Add ComputationalResources on test neural_network_builder_test.jl.
  • Tests improvement.

v0.2.4

  • Add rknn1, rknn2, rknn4 neural networks.
  • Add DenseDiffEqFlux, DenseIdentityOut, DenseIdentityIn and DenseSampleTime struct.
  • Add gaussian activation function for rbf.
  • Improve mlj_model_interface for neuralODE training.
  • Remove neuralode_type1 and keep only neuralode_type2 as neuralODE.
  • Change folders structure.
  • Tests improvement.

v0.2.3

  • Julia code formatter.
  • Add Github Actions with continuous integration yml.
  • Improve tests for continuous integration.

v0.2.2

  • Tests improvement.

v0.2.1

  • Removing GPU acceleration of neuralnetode_type1 and neuralnetode_type2.

v0.2.0

  • Add loss functions : MSE, RMSE, MAPE.
  • Add loss functions tests.
  • Improved args kws on black_box_identification.jl.
  • Fixed Identification to AutomationLabsIdentification on architectures_neural_test.jl.

v0.1.1

  • Add [compat] for CUDA, DataFrames, DiffEqFlux, DifferentialEquations, Flux, FluxOptTools, MLJ, MLJFlux, MLJMultivariateStatsInterface, MLJParticleSwarmOptimization, MLUtils, MultivariateStats, Optim, ProgressMeter, StableRNGs, StatsBase.
  • Fixed Identification to AutomationLabsIdentification.

v0.1.0

  • Initial public release.