... | ... | @@ -131,10 +131,10 @@ The ML model predictions are compared to posterior overlap statistic results als |
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| Scripts | Short description | Status | git hash | Comment | final sign-off |
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|[condor_data_gen_train_test.py](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/train_test_workflow/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. |--------|----------|---------|----------------|
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|[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. |--------|----------|---------|----------------|
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|[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. |--------|----------|---------|----------------|
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|[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`|--------|----------|---------|----------------|
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|[condor_train_test_features_extraction.py](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/train_test_workflow/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.|--------|----------|---------|----------------|
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|[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.|--------|----------|---------|----------------|
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|[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. |--------|----------|---------|----------------|
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# Meetings
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