2022-10-03 11:08 PM
Solved! Go to Solution.
2022-10-04 12:32 AM
Unico has to be used to generated the .arff file, containing the MLC features computed from the training data.
Then the decision tree can be generated using different tools, Unico-GUI is an option (it has a built-in tool for decision tree generation), other tools like Weka, Matlab, Python, RapidMiner can be used too.
In the appendix section of the MLC application note (e.g. document AN5259 we provide some information about the usage of external tools for decision tree generation.
For Matlab and Python some dedicated scripts are available in the tool section of the MLC GitHub repository: https://github.com/STMicroelectronics/STMems_Machine_Learning_Core
2022-10-04 12:32 AM
Unico has to be used to generated the .arff file, containing the MLC features computed from the training data.
Then the decision tree can be generated using different tools, Unico-GUI is an option (it has a built-in tool for decision tree generation), other tools like Weka, Matlab, Python, RapidMiner can be used too.
In the appendix section of the MLC application note (e.g. document AN5259 we provide some information about the usage of external tools for decision tree generation.
For Matlab and Python some dedicated scripts are available in the tool section of the MLC GitHub repository: https://github.com/STMicroelectronics/STMems_Machine_Learning_Core