From d1d2784d00ee03fe7a7aee2bbe9c0ed1360266c9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Leon=20Michel=20Gori=C3=9Fen?=
<leon.gorissen@llt.rwth-aachen.de>
Date: Fri, 18 Oct 2024 07:32:13 +0000
Subject: [PATCH] Update TODOs [ci skip]
---
TODOs | 10 ++++------
1 file changed, 4 insertions(+), 6 deletions(-)
diff --git a/TODOs b/TODOs
index 5cd7e51..df1c2ce 100644
--- a/TODOs
+++ b/TODOs
@@ -20,17 +20,15 @@ coscine_watchdog/coscine_client.py:185: # TODO use update file rath then uplo
coscine_watchdog/coscine_client.py:220: ("datatype", "Datatype is missing"), # , # TODO
coscine_watchdog/coscine_client.py:221: # ('dataset_type', 'Dataset type is missing') # TODO
docs/index.rst:4:.. TODO change to two (or more) main pages + metadata. one on data generation one on ai.
+dynamics_learning/benchmark_number_of_runs.py:141: # TODO implement max number of trajectories used for benchmark training
dynamics_learning/benchmark_number_of_runs.py:211: # TODO load ITA model instead of dummy model
-dynamics_learning/benchmark_number_of_runs.py:240: # TODO load LLT Data
-dynamics_learning/benchmark_number_of_runs.py:241: # TODO load ITA model
-dynamics_learning/benchmark_number_of_runs.py:242: # TODO set hyperparameters for LLT model based on ITA model with known hyperparameters
-dynamics_learning/benchmark_number_of_runs.py:256: # TODO load LLT Data
-dynamics_learning/benchmark_number_of_runs.py:257: # TODO load foundation model
-dynamics_learning/benchmark_number_of_runs.py:258: # TODO set hyperparameters for LLT model based on foundation model
+dynamics_learning/benchmark_number_of_runs.py:262: # TODO load ITA model instead of dummy model
dynamics_learning/dynamics_learning/testing/__init__.py:256: # somewhere FIXME: Daten scheinen zu kurz zu sein?
dynamics_learning/dynamics_learning/testing/__init__.py:640: # somewhere FIXME: Daten scheinen zu kurz zu sein?
dynamics_learning/dynamics_learning/training/__init__.py:265: ) # TODO implement another naming schema, as soon as a custom application profiles for the models is available in coscine.
dynamics_learning/dynamics_learning/training/__init__.py:271: f"{decision_metric}_val_loss" # TODO implement custom coscine application profile for the models based on MITM base profile
+dynamics_learning/train_instance.py:38: # TODO download data from ita / use data from ita
+dynamics_learning/train_instance.py:71: # TODO save model and hyperparameters locally
franka_lock_unlock/README.rst:1:.. TODO describe docker compose up for individual component
src_jan/ROS/package.xml:16: <license>TODO</license>
src_jan/ROS/panda_auto_dynamics.py:5:# TODO DOCSTRING DOCUMENTATION
--
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