real-time data processing

Hello,
I have a flowing real-time data which is stored in "AllData" and I want to concatenate last 6 rows as a column. The code-block is in a while loop and I can display the manipulated dataset (clf_data) when I uncommented "disp(clf_data)". However I cannot it with pre-trained machine learning model.
It throws an error: Undefined function handle.
Can anyone help?
Thanks in advance
dataset = AllData(:,2:9);
clf_data = [AllData(end,2:9),AllData(end-1,2:9),AllData(end-2,2:9),AllData(end-3,2:9),AllData(end-4,2:9),AllData(end-5,2:9)];
%disp(clf_data)
ml_result = machine_learning_model.predictFcn(clf_data);

1 commentaire

You might be using a trained model itself. In that case, you can make a prediction by simply:
ml_result = predict(machine_learning_model, clf_data);
You can check what the object type is by:
type(machine_learning_model)
Unless it says "structure", you cannot use the method ".predictFcn"

Connectez-vous pour commenter.

Réponses (0)

Catégories

En savoir plus sur Deep Learning Toolbox dans Centre d'aide et File Exchange

Produits

Version

R2020b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by