![]() |
GestureRecognitionToolkit
Version: 0.2.0
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
|
partitionPercentage | sets the percentage of data which remains in this instance, the remaining percentage of data is then returned as the testing/validation dataset |
useStratifiedSampling | sets if the dataset should be broken into homogeneous groups first before randomly being spilt, default value is false |
file | a reference to the file the model will be loaded from |
file | a reference to the file the model will be saved to |
filename | the name of the file to load the model from |
the | name of the file to save the model to |
partitionPercentage | sets the percentage of data which remains in this instance, the remaining percentage of data is then returned as the testing/validation dataset |
partitionPercentage | sets the percentage of data which remains in this instance, the remaining percentage of data is then returned as the testing/validation dataset |
useStratifiedSampling | sets if the dataset should be broken into homogeneous groups first before randomly being spilt, default value is false |
partitionPercentage | sets the percentage of data which remains in this instance, the remaining percentage of data is then returned as the testing/validation dataset |