= idb.get_default_data_root()
tmp_dir / 'robot_forward') dl_robot_forward(tmp_dir
Industrial Robot Dataset
Fill in a module description here
dl_robot_forward
dl_robot_forward (save_path:pathlib.Path, force_download:bool=False)
Type | Default | Details | |
---|---|---|---|
save_path | Path | directory the files are written to, created if it does not exist | |
force_download | bool | False | force download the dataset |
Returns | None |
= idb.run_benchmark(
results =BenchmarkRobotForward_Simulation,
spec=idb._dummy_build_model
build_model
)'metric_score'] results[
Building model with spec: BenchmarkRobotForward_Simulation, seed: 2680628891
25.958381135555868
= idb.run_benchmark(
results =BenchmarkRobotForward_Prediction,
spec=idb._dummy_build_model
build_model
)'metric_score'] results[
Building model with spec: BenchmarkRobotForward_Prediction, seed: 828977438
24.406405307477502
dl_robot_inverse
dl_robot_inverse (save_path:pathlib.Path, force_download:bool=False)
Type | Default | Details | |
---|---|---|---|
save_path | Path | directory the files are written to, created if it does not exist | |
force_download | bool | False | force download the dataset |
Returns | None |
= idb.get_default_data_root()
tmp_dir / 'robot_inverse') dl_robot_inverse(tmp_dir
= idb.run_benchmark(
results =BenchmarkRobotInverse_Simulation,
spec=idb._dummy_build_model
build_model
)'metric_score'] results[
Building model with spec: BenchmarkRobotInverse_Simulation, seed: 2022869814
3.9566372133884067
= idb.run_benchmark(
results =BenchmarkRobotInverse_Prediction,
spec=idb._dummy_build_model
build_model
)'metric_score'] results[
Building model with spec: BenchmarkRobotInverse_Prediction, seed: 3680826223
3.900040000420601