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Update Code Review 2023 authored by Srashti Goyal's avatar Srashti Goyal
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Code-Review-2023.md
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......@@ -59,7 +59,7 @@ Can be found [here](https://git.ligo.org/srashti.goyal/lensid/-/wikis/Code-revie
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| [lensid_get_features_qts_ml.py](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/package/lensid/feature_extraction/lensid_get_features_qts_ml.py) | Script for calculating densenets predictions for a single detector Qtransforms given the trained densenet. Eg: `lensid_get_features_qts_ml -infile /home/srashti.goyal/lensing_MDC_O4/data_prep/data/dataframes/pairs.csv -outfile check_lensid_qts.csv -data_dir /home/srashti.goyal/lensing_MDC_O4/data_prep/data/qts/ -det H1 -whitened 1 -dense_model /home/srashti.goyal/lensid/development/retraining_for_O4/out/uniform_lr_005/dense_H1.h5` modified to single detector as compared to three detectors earlier.|OK | f9b7075d0e6ca8db211a0c3e43299af1eb428410 | 5e0e774713072dfeedafeb5a0cc2965dcd4d068c | [diff](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/review/diff_lensid_get_features_qts_ml_py.diff) | :heavy_check_mark:|
| [lensid_get_features_sky_ml.py](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/package/lensid/feature_extraction/lensid_get_features_sky_ml.py) | Script for calculating features from the bayestar skymaps which go as input to "XGBoost with Skymaps" model. Eg: `lensid_get_features_sky_ml -infile check/lensed.csv -outfile check/lensed_sky.csv -data_dir check` | -OK-DC , OK-jrc | f9b7075d0e6ca8db211a0c3e43299af1eb428410 | NA | NA |:heavy_check_mark: |
| [ml_utils.py](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/package/lensid/utils/ml_utils.py) | utility script containing all machine learning model functions for training, FAP computation, predictions etc. Added data loader, Qtransforms input options file type | ? | 493ea099f42fc50d2cc081754d5395f57fafae76 |5e0e774713072dfeedafeb5a0cc2965dcd4d068c | [diff] (https://git.ligo.org/srashti.goyal/lensid/-/blob/master/review/diff_ml_utils_py.diff) question line 426: is Keras trained on .png or .npz? | |
| [ml_utils.py](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/package/lensid/utils/ml_utils.py) | utility script containing all machine learning model functions for training, FAP computation, predictions etc. Added data loader, Qtransforms input options file type | ? | 493ea099f42fc50d2cc081754d5395f57fafae76 |73d359cc521717a5daa553cd6c0a6c384507891c | [diff] (https://git.ligo.org/srashti.goyal/lensid/-/blob/master/review/diff_ml_utils_py.diff) question line 426: is Keras trained on .png or .npz? [solved] | |
### ML models: Training, Optimisation, Testing, Comparison with BLU, Predictions
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