You cannot modify the number of input and output ports for the "Scikit-learn Model Predict" block. This block is designed to take an observation as input and provide an output. The observation can include multiple features, which correspond to your multiple inputs.
To pass these multiple inputs or observations to your scikit-learn model, you need to send them as a multi-dimensional matrix. By default, rows represent observations, and columns represent the variables or features. However, you can adjust this using the "Permutation To Python" option in the "Input" section of the block parameters. More information on sending multiple inputs to the "Scikit-learn Model Predict" block is available here: https://www.mathworks.com/help/stats/scikitlearnmodelpredict.html#mw_7cdff098-73a0-436a-8583-f31c73bf98ea.
Similarly, the output from the block will also be a matrix, with rows as observations and columns as corresponding outputs. Further details can be found at: https://www.mathworks.com/help/stats/scikitlearnmodelpredict.html#mw_de2d1dfb-17a9-497b-a1f2-0352fd841fde.
To handle 9 inputs and obtain 4 outputs in your Simulink model, you can use “Mux” and “Demux” blocks. “Mux” blocks combine input signals of the same data type and complexity into a single vector, while “Demux” blocks separate and output the elements of a single vector. Use the “Mux” block to combine the 9 features of the input observation and input it to the "Scikit-learn Model Predict" block. Similarly, use a “Demux” block to extract the 4 output features from the observation.
More information about the Mux block is available at https://www.mathworks.com/help/simulink/slref/mux.html, and about the Demux block at https://www.mathworks.com/help/simulink/slref/demux.html.
I hope this clarifies your query.
