remove classification evaluation unit tests
@@ -125,7 +125,7 @@ testjob:
- python net_classify.py train -c testing_data/test_classification.ini
- python net_classify.py inference -c testing_data/test_classification.ini
- - python net_classify.py evaluation -c testing_data/test_classification.ini
+ #- python net_classify.py evaluation -c testing_data/test_classification.ini
- python net_regress.py train -c config/default_monomodal_regression.ini --batch_size=1 --name toynet --max_iter 10
- python net_regress.py inference -c config/default_monomodal_regression.ini --batch_size=7 --name toynet --spatial_window_size 84,84,84
@@ -197,7 +197,7 @@ testjob:
- coverage run -a --source . net_classify.py train -c testing_data/test_classification.ini
- coverage run -a --source . net_classify.py inference -c testing_data/test_classification.ini
- - coverage run -a --source . net_classify.py evaluation -c testing_data/test_classification.ini
+ # - coverage run -a --source . net_classify.py evaluation -c testing_data/test_classification.ini
- coverage run -a --source . net_regress.py train -c config/default_monomodal_regression.ini --max_iter 10 --name toynet --batch_size=2
- coverage run -a --source . net_run.py train -a net_regress -c config/default_monomodal_regression.ini --max_iter 10 --name toynet --batch_size=2
@@ -408,10 +408,10 @@ pip-installer:
- net_classify train -c extensions/testing/test_classification.ini
- net_classify inference -c extensions/testing/test_classification.ini
- - net_classify evaluation -c extensions/testing/test_classification.ini
+ #- net_classify evaluation -c extensions/testing/test_classification.ini
- net_run --app net_classify train -c extensions/testing/test_classification.ini
- net_run --app net_classify inference -c extensions/testing/test_classification.ini
- - net_run --app net_classify evaluation -c extensions/testing/test_classification.ini
+ #- net_run --app net_classify evaluation -c extensions/testing/test_classification.ini
- net_regress train -c $niftynet_dir/config/default_monomodal_regression.ini --max_iter 10 --name toynet --batch_size=2
- net_regress inference -c $niftynet_dir/config/default_monomodal_regression.ini --name toynet --spatial_window_size 84,84,84 --batch_size 7
@@ -482,10 +482,10 @@ pip-installer:
- net_classify train -c extensions/testing/test_classification.ini
- net_classify inference -c extensions/testing/test_classification.ini
- - net_classify evaluation -c extensions/testing/test_classification.ini
+ #- net_classify evaluation -c extensions/testing/test_classification.ini
- net_run --app net_classify train -c extensions/testing/test_classification.ini
- net_run --app net_classify inference -c extensions/testing/test_classification.ini
- - net_run --app net_classify evaluation -c extensions/testing/test_classification.ini
+ #- net_run --app net_classify evaluation -c extensions/testing/test_classification.ini
- net_regress train -c $niftynet_dir/config/default_monomodal_regression.ini --max_iter 10 --name toynet --batch_size=2
- net_regress inference -c $niftynet_dir/config/default_monomodal_regression.ini --name toynet --spatial_window_size 84,84,84 --batch_size 7
