Code-Review.md

@@ -130,9 +130,7 @@ The ML model predictions are compared to posterior overlap statistic results als
 | Scripts | Short description | Status | git hash | Comment | final sign-off |
 |---------|-------------------|--------|----------|---------|----------------|
 | [condor_data_gen_train_test.py](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/train_test_workflow/condor_data_gen_train_test.py) | Generate Qtransforms, Dataframes, Bayestar skymaps for training and testing given the injection parameters using condor dag jobs submission. Note: change `exec_file_loc` in the script according to your installation and `base_out_dir` as desired. | -------- | ---------- | --------- | ---------------- |
-| [config_train_test_workflow.yaml](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/train_test_workflow/config_train_test_workflow.yaml) | config file for training and testing ML models. Note: change `base_out_dir` as desired. | question-jrc\
-\-------- | ---------- | Do we need `tag_qts_in : _kaggle?`\
-\--------- | ---------------- |
+| [config_train_test_workflow.yaml](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/train_test_workflow/config_train_test_workflow.yaml) | config file for training and testing ML models. Note: change `base_out_dir` as desired. | question-jrc\\ |  | Do we need `tag_qts_in : _kaggle?`\\ |  |
 | [train_three_densenets.py](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/train_test_workflow/train_three_densenets.py) | Trains the three densenets, needs **config** file as input. Runs very fast on GPU systems. Optionally one can use condor to submit it as job. `python train_three_densenets.py` | -------- | ---------- | --------- | ---------------- |
 | [condor_train_test_features_extraction.py](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/train_test_workflow/condor_train_test_features_extraction.py) | Extract sky and qts features of the training and testing dataset by condor dag jobs submission. Needs **config** file as input. | -------- | ---------- | --------- | ---------------- |
 | [train_test_XGBs.py](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/train_test_workflow/train_test_XGBs.py) | Train and test the QTs and Skymaps machine learning models, optionally compare to BLU. Needs **config** as input. Runs in <5 mins, optionally can be submitted using condor. | OK-jrc-------- | ---------- | why do we have import warnings warnings.filterwarnings('ignore') on line 11? | ---------------- |