Strings and character vectors can be combined usingstrcat. When concatenating strings with character vectors a whitespace will not be added. Concatenate a character vector onto each element of the string array. str3 = strcat(str,', M.D.') ...
blanks Create string of blank characters cellstr Create cell array of strings from character array char Convert to character array (string) iscellstr Determine whether input is cell array of strings ischar Determine whether item is character array sprintf Format data into string strcat Concatenate st...
blanks Create string of blank characters cellstr Create cell array of strings from character array char Convert to character array (string) iscellstr Determine whether input is cell array of strings ischar Determine whether item is character array sprintf Format data into string strcat Concatenate st...
Rather than doing the above I am wondering if there is any other way to ignoring the NaNs -- I know of sum(...,'omitnan') and nansum() but they work on one matrix or if I concatenate the two matrices together then they aggregate either all ro...
ZPrev = h(1:latentSize,:);% Solve the ODE.Zt = euler(@odeModel,[tspan(t) tspan(t+1)],ZPrev,parameters.ODE);% Concatenate the input data with the RNN input over the channel dimension.Zt = dlarray(Zt,"CBT"); Xt = X(:,:,t); ...
README This is a collection of MATLAB utilities developed by Kendrick Kay (kendrick@post.harvard.edu,http://kendrickkay.net). The philosophy of the code is to maximize power (i.e. the ability to perform many different things) and generality (i.e. the ability to re-use code for many di...
function[features,adjacency,numNodes,target] = preprocessMiniBatch(featureData,adjacencyData,targetData)% Extract feature and adjacency data from their cell array and concatenate the% data along the third (batch) dimensionfeatureData = cat(3,featureData{:}); ...
function[features,adjacency,numNodes,target] = preprocessMiniBatch(featureData,adjacencyData,targetData)% Extract feature and adjacency data from their cell array and concatenate the% data along the third (batch) dimensionfeatureData = cat(3,featureData{:}); ...
Zt = euler(@odeModel,[tspan(t) tspan(t+1)],ZPrev,parameters.ODE); % Concatenate the input data with the RNN input over the channel dimension. Zt = dlarray(Zt,"CBT"); Xt = X(:,:,t); Zt = cat(1,Zt,Xt); % RNN step. inputWeights = parameters.gru.InputWeights; rec...
README This is a collection of MATLAB utilities developed by Kendrick Kay (kendrick@post.harvard.edu,http://kendrickkay.net). The philosophy of the code is to maximize power (i.e. the ability to perform many different things) and generality (i.e. the ability to re-use code for many di...