Deploy classification learner model
Afficher commentaires plus anciens
Hello,
Using 'Claassification Trainer', I crated a model called 'trainedModel'
I want to predict survival 'c' for the data on the file 'for_prediction.xlsx'
I wrote the following code:
T = readtable('for_prediction.xlsxv');
predictions = trainedModel.predictFcn(T);
T.predictions = predictions;
However, I am getting errors.
I also tried:
>> % This function takes "ValidationData" as an input from Excel and
% returns "yfit" which a prediction based on the "trainedModel" from "model.mat"
function yfit = runModelFromMATLAB(ValidationData)
%#function ClassificationTree % declares which "predict" function to use
load trainedModel.mat; % trained model from Classification Learners App
for_prediction.xlsx = ValidationData;
% convert data to table
ModTableData = cell2table(for_prediction.xlsx, 'VariableNames',...
{'PCLASS','AGE','SIBSP','PARCH',...
'FARE'});
% get classification tree from the model and call predict using this tree
ModelClassTree = trainedModel.ClassificationTree;
yfit = predict(ModelClassTree, ModTableData);
yfit = {char(yfit)};
function yfit = runModelFromMATLAB(ValidationData)
↑
Error: Function definition not supported in this context. Create functions in code file.
Would appreciate any advice. Thanks in advance!
Réponses (1)
Divya Gaddipati
le 23 Juil 2020
0 votes
Refer to the following link on how to use your model on new data
Catégories
En savoir plus sur Pattern Recognition dans Centre d'aide et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!