Hello,
I have an error :
Number of input data formats (1) and number of network inputs (2) must match.
I call trainnet with:
netTrained = trainnet(dsTrain, net,'mse',options)
Options being:
options = trainingOptions("adam", ...
InitialLearnRate=0.0005, ...
InputDataFormats = "CB", ...
TargetDataFormats = "CB", ...
Plots="training-progress");
The dsTrain is a CombinedDatastore contains the feats the metadata and the target value and is formed such that on the command read I get the following ans:
ans =
1×3 cell array
{9×1 double} {10×1 double} {[17.6004]}
I have tried also to have a dsTrainX and dsTrainY separately and feed them separately to trainnet, without luck.
I have 10 observations. I am aware of the small dataset, but it is simply a sample and the goal is to make the example run successfully.
With trainNetwork I don't have any problems, the data there was of a different data format but when translating through Deep Network Designer to trainnet errors occured regarding the InputDataFormat, so once I went through those errors, now I have this one.
Hope someone could help
Greets
Imola
