To create (or convert to) a numeric matrix, all the elements must be numeric scalars (or numerical arrays of compatible dimensions for concatenation), which, by looking at the errors, is not the case with your
Table transform - rows to variable number of... Learn more about rows to columns, table, variable length
COORDofGP=readtable("E:\MyPapers\TiSpherInden\CPFEMSimu\COORDofGP.csv");EAofGP=readtable("E:\MyPapers\TiSpherInden\CPFEMSimu\EAofGP.csv");%---transform the readed table to matrix EAofGP=table2array(EAofGP);COORDofGP=table2array(COORDofGP);%---define the crystalSymmetry of pure Ti...
使用模拟异常图像平衡训练数据在异常图像稀缺的应用中很有用。 dsTrain=transform(imdsTrain,@augmentDataForPillAnomalyDetector);dsTrain=transform(dsTrain,@addConfettiNoiseForPillAnomalyDetector,IncludeInfo=true); 通过使用函数transform和辅助函数addLabelData指定的操作,将二进制标签添加到校准和测试数据集。辅助函数...
Input signal, specified as a vector, a matrix, or a MATLAB® timetable. Note If you want x and s to be the same length, the value of (length(x)-noverlap)/(length(window)-noverlap) must be an integer. Use Window to specify the length of window and OverlapLength to specify noverlap...
transparency for each edge based on the values in theAlphaDataproperty. First you must specify theAlphaDataproperty as a matrix the same size as theZDataproperty. The transparency value at the first vertex determines the transparency for the entire edge. TheEdgeColorproperty also must be set to'...
[A1,A2,...,Am] = gallery(matrixname,P1,P2,...,Pn,typename) additionally specifies the data type of the generated test matrices. A = gallery(3) generates an ill-conditioned 3-by-3 matrix that is sensitive to perturbation. example A = gallery(5) generates a 5-by-5 matrix with an ...
Tbl— Features to transform table Features to transform, specified as a table. The rows must correspond to observations, and the columns must correspond to the predictors used to generate the transformed features stored in Transformer. You can enter describe(Transformer).InputVariables to see the li...
transform supports only numeric input data. If your input data includes categorical data, you must prepare an encoded version of the categorical data. Use dummyvar to convert each categorical variable to a numeric matrix of dummy variables. Then, concatenate all dummy variable matrices and any othe...
mdl = fitcecoc(meanEmbeddingTrain,TTrain,Learners="linear") mdl = CompactClassificationECOC ResponseName: 'Y' ClassNames: [Electronic Failure Leak Mechanical Failure Software Failure] ScoreTransform: 'none' BinaryLearners: {6×1 cell} CodingMatrix: [4×6 double] Properties, Methods 测试模...