Comments (4)
pascalau
commented on July 3, 2024
1
I have a first functioning prototype on the branch pr-improved-dataflow. The prototype first saves all features in the data frame and uses the function assemble_regression_matrices() to create the X,y objects.
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pascalau
commented on July 3, 2024
1
See #176
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manumerous
commented on July 3, 2024
That sounds great! Do you plan to include the fisher information into the visual dataframe selector at some at some point? It would be very cool and straight forward to visualize the fisher information metric in the visual dataframe selector in an additional subplot. Feel free to reach out to me if you have any questions on that. :)
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Jaeyoung-Lim
commented on July 3, 2024
Closing as addressed in #176
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Related Issues (20)
- RotorModel fails to calculate relevant features if position and axis vector are collinear HOT 5
- Evaluation with identified model HOT 10
- [FeatureRequest] Non-dynamic parameter estimation HOT 2
- Failure on using quadrotor model with plot enabled
- Pipeline fails with data selection HOT 1
- Online Sys ID HOT 6
- Pipeline fails with default models HOT 2
- Plotting broken(again)
- Moment prediction doesn't seem to be correct with QP HOT 2
- Multi instance topic logs break the pipeline
- Simulation and testing problem (inconsistent behavior) HOT 27
- Unified formatter for python code HOT 3
- Model estimation broken for upstream PX4 HOT 6
- ID data gathering FW/VTOL HOT 3
- self.prepare_regression_matrices() issue. HOT 3
- Are real flight logs available HOT 6
- make install-depdencies fail HOT 1
- Build failure
- Product of inertia problem HOT 1
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