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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.
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| 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 |