1.7. Dimension Reduction¶
The dimension reduction listens on specified scopes and reduces the information to down to a given dimension. Kernel t-SNE to reduce the dimension.
Before the dimension reduction can be used it first has to be trained. The training must be done on a dataset (rsbagfile or livesystem) that has meaningfull entries. So don’t train on a set where nothing happens.
1.7.3. Examples¶
Training the Dimension Reduction component on a given rsbag file:
dimension_reduction PARAMETERS
dimenison_reduction -t
dimenison_reduction -t -k <kernelFile>
dimenison_reduction -t -k kernel.ser
dimenison_reduction -t -r <rsbagFile>
dimenison_reduction -t -r recording.tide
dimenison_reduction -t --gui
Run Dimenison Reduction componont after training
dimension_reduction PARAMETERS
dimenison_reduction
dimenison_reduction -k <kernelFile>
dimenison_reduction -k kernel.ser
dimenison_reduction -r <rsbagFile>
dimenison_reduction -r recording.tide
dimenison_reduction --gui