- Ensure that "P" is a Matrix, where each column represents a sample, and each row represents a feature of those samples.
- Ensure that "T" is also a Matrix, where each column represents to a target class of a sample in "P", and each row represent the corresponding one hot encoding of that class.
Unable to use newpnn command
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When I am using the newpnn command as net_1 = newpnn(P,T,0.438644); P and T are the arguments.It is giving this error message
How can I remove this error?
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Meet
on 20 Aug 2024
Hi Aritra,
The error message suggests that the input "P" is not in the expected format. To resolve this issue, you can consider the following steps:
Here is an example of the "newpnn" function:
% If you have 3 features and 5 samples
P = [
0.1, 0.2, 0.3, 0.4, 0.5;
0.5, 0.4, 0.3, 0.2, 0.1;
0.2, 0.3, 0.4, 0.5, 0.6
];
% If you have 2 classes
% Each column corresponds to the class of the sample in P
T = [
1, 0, 1, 0, 1; % Class 1
0, 1, 0, 1, 0 % Class 2
];
% Create the PNN with a specified spread
spread = 0.438644;
net_1 = newpnn(P, T, spread);
For more information on the "newpnn" function, please refer to the following documentation: https://www.mathworks.com/help/deeplearning/ref/newpnn.html
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