Matlab-2017 -

Introduction to Feature Selection - MATLAB & Simulink - MathWorks

In MATLAB, features are usually calculated within functions that take raw data as input and return a single value or vector. matlab-2017

: Start with the function keyword, define outputs, and ensure the filename matches the function name. Example : Introduction to Feature Selection - MATLAB & Simulink

function featureValue = getMeanAmplitude(signal) % This function calculates a simple statistical feature featureValue = mean(abs(signal)); end Use code with caution. Copied to clipboard 2. Feature Engineering Workflow Copied to clipboard 2

In MATLAB R2017 (both and R2017b ), "writing a feature" typically refers to feature engineering for machine learning or signal processing, or creating a custom function to extract specific data characteristics. 1. Defining a Feature Extraction Function

: The Diagnostic Feature Designer (available via the Predictive Maintenance Toolbox ) allows you to interactively extract features and then generate MATLAB code to automate the process for future data. 3. Writing Features to Files

: You can use functions like gencfeatures to perform automated feature engineering if your data is in a table.