jacopok / mlgw_bns

Accelerating gravitational wave template generation with machine learning.
GNU General Public License v3.0
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Save parameters and more things #20

Closed jacopok closed 2 years ago

jacopok commented 2 years ago

Finally merging back this branch into master. Besides saving the parameters, the mass range issue has been fixed, and with it the things happening at high frequencies.

github-actions[bot] commented 2 years ago

Unit Test Results

    1 files  ±  0      1 suites  ±0   1m 53s :stopwatch: +20s 101 tests +24  101 :heavy_check_mark: +24  0 :zzz: ±0  0 :x: ±0 

Results for commit 6565e190. ± Comparison against base commit be8ace07.

This pull request removes 12 and adds 36 tests. Note that renamed tests count towards both. ``` tests.test_model ‑ test_model_nn_prediction[trained_model-0.01-0.1-1024] tests.test_model ‑ test_model_nn_prediction[trained_model-0.01-0.1-128] tests.test_model ‑ test_model_nn_prediction[trained_model-0.01-0.1-16384] tests.test_model ‑ test_model_nn_prediction[trained_model-0.01-0.1-2048] tests.test_model ‑ test_model_nn_prediction[trained_model-0.01-0.1-256] tests.test_model ‑ test_model_nn_prediction[trained_model-0.01-0.1-4096] tests.test_model ‑ test_model_nn_prediction[trained_model-0.01-0.1-512] tests.test_model ‑ test_model_nn_prediction[trained_model-0.01-0.1-8192] tests.test_model ‑ test_model_nn_prediction_random_extrinsic[0-default_model-1e-05-0.002] tests.test_model ‑ test_model_nn_prediction_random_extrinsic[0-trained_model-0.01-0.1] … ``` ``` tests.test_model ‑ test_bounds_of_mass_range_work[2.0] tests.test_model ‑ test_bounds_of_mass_range_work[4.0] tests.test_model ‑ test_model_nn_prediction[trained_model-0.012-0.1-1024] tests.test_model ‑ test_model_nn_prediction[trained_model-0.012-0.1-128] tests.test_model ‑ test_model_nn_prediction[trained_model-0.012-0.1-16384] tests.test_model ‑ test_model_nn_prediction[trained_model-0.012-0.1-2048] tests.test_model ‑ test_model_nn_prediction[trained_model-0.012-0.1-256] tests.test_model ‑ test_model_nn_prediction[trained_model-0.012-0.1-4096] tests.test_model ‑ test_model_nn_prediction[trained_model-0.012-0.1-512] tests.test_model ‑ test_model_nn_prediction[trained_model-0.012-0.1-8192] … ```