Hello, I am new to matlab. I want to ask what to do if there is an invalid validation data table error. This is my code
filename = "Data1.txt";
tbl = readtable(filename,'TextType','String');
labelName = "output";
tbl = convertvars(tbl,labelName,'categorical');
head(tbl)
categoricalInputNames = ["class" "fractaldimension"];
tbl = convertvars(tbl,categoricalInputNames,'categorical');
for i = 1:numel(categoricalInputNames)
name = categoricalInputNames(i);
oh = onehotencode(tbl(:,name));
tbl = addvars(tbl,oh,'After',name);
tbl(:,name) = [];
end
tbl = splitvars(tbl);
head(tbl)
classNames = categories(tbl{:,labelName});
numObservations = size(tbl,1);
numObservationsTrain = floor(0.7*numObservations);
numObservationsValidation = floor(0.15*numObservations);
numObservationsTest = numObservations - numObservationsTrain - numObservationsValidation;
idx = randperm(numObservations);
idxTrain = idx(1:numObservationsTrain);
idxValidation = idx(numObservationsTrain+1:numObservationsTrain+numObservationsValidation);
idxTest = idx(numObservationsTrain+numObservationsValidation+1:end);
tblTrain = tbl(idxTrain,:);
tblValidation = tbl(idxValidation,:);
tblTest = tbl(idxTest,:);
numFeatures = size(tbl,2) - 1;
numClasses = numel(classNames);
layers = [
featureInputLayer(numFeatures,'Normalization', 'zscore')
fullyConnectedLayer(83)
batchNormalizationLayer
reluLayer
fullyConnectedLayer(numClasses)
softmaxLayer
classificationLayer];
miniBatchSize = 16;
options = trainingOptions('adam', ...
'MiniBatchSize',miniBatchSize, ...
'Shuffle','every-epoch', ...
'ValidationData',tblValidation, ...
'Plots','training-progress', ...
'Verbose',false);
net = trainNetwork(tblTrain,labelName,layers,options);
Invalid validation data table. For networks with feature input, predictors must be numeric arrays, where each
variable of the table corresponds to one feature.
