I have next problem runing the "
Explain Black-Box Model Using Fuzzy
" example:
>> data = load('dataExplainDNN.mat');
dnnLKA = data.trainedDNN;
Warning: Unable to load instances of class rl.layer.ScalingLayer into a heterogeneous array. The definition of
rl.layer.ScalingLayer could be missing or contain an error. Default objects will be substituted.
Warning: While loading an object of class 'SeriesNetwork':
Error using the predict function in layer nnet.cnn.layer.MissingLayer. The function threw an error and could not be executed.
>> steeringAngle = predict(dnnLKA,zeros(1,6))
Dot indexing is not supported for variables of this type.
Error in SeriesNetwork/predict (line 320)
Y = this.UnderlyingDAGNetwork.predict(X, varargin{:});
The class "rl" is not load correctly, load a structure but is not the original data (SacalingLayer object maybe?), then fail when try to use as a predict model.
I need to add some function of the original model like a add-on?
