InnerEye-DeepLearning/.amlignore

.idea
.git
.azureml
.pytest_cache
.mypy_cache
.github
.amlignore
.coveragerc
.editorconfig
.flake8
.gitattributes
.gitconfig
.gitignore
.gitmodules
CODE_OF_CONDUCT.md
GeoPol.xml
most_recent_run.txt
mypy.ini
mypy_runner.py
pull_request_template.md
SECURITY.md
__pycache__
azure-pipelines
/datasets
docs
sphinx-docs
modelweights
outputs
logs
test_outputs
run_outputs
# Test output from model registration
TestsOutsidePackage/azureml-models
tensorboard_runs
InnerEyeTestVariables.txt
InnerEyePrivateSettings.yml
cifar-10-batches-py
cifar-100-python
!**/InnerEye/ML/Histopathology/datasets
Reduce AML snapshot size by skipping test folders (#497) This cuts down about 15MB of data per job submission 2021-06-22 16:47:17 +03:00			`.idea`
Add source code 2020-07-28 22:00:35 +03:00			`.git`
			`.azureml`
			`.pytest_cache`
			`.mypy_cache`
Reduce AML snapshot size by skipping test folders (#497) This cuts down about 15MB of data per job submission 2021-06-22 16:47:17 +03:00			`.github`
			`.amlignore`
			`.coveragerc`
			`.editorconfig`
			`.flake8`
			`.gitattributes`
			`.gitconfig`
			`.gitignore`
			`.gitmodules`
			`CODE_OF_CONDUCT.md`
			`GeoPol.xml`
			`most_recent_run.txt`
			`mypy.ini`
			`mypy_runner.py`
			`pull_request_template.md`
			`SECURITY.md`
Add source code 2020-07-28 22:00:35 +03:00			`__pycache__`
Bug fix for regression test (#496) - The regresssion test code in #492 missed out files in AzureML, because the wrong function was called in the main workflow. - Cleaner folder structure for regression test results 2021-06-21 16:39:09 +03:00			`azure-pipelines`
Add histopathology module and add hi-ml as submodule (#603) * Add hi-ml submodule * Add Histopathology module * Add tests * update azure scripts * Address PR comments * mypy * Add changelog * Add hi-ml submodule Add Histopathology module Add tests update azure scripts Address PR comments mypy Add changelog Changes label * turn off logging outside of AML for now to get tests to pass * flake8 * flake8 * flake8 * Bug in init file * eclude histopathology datasets module from amlignore * exclude histopathology datasets module from amlignore * exclude histopathology datasets module from amlignore * exclude histopathology datasets module from amlignore * exclude histopathology datasets module from gitignore * exclude histopathology datasets module from gitignore * Address PR comments * Address PR comments * Minor change to requeue build 2021-12-06 20:23:17 +03:00			`/datasets`
Reduce AML snapshot size by skipping test folders (#497) This cuts down about 15MB of data per job submission 2021-06-22 16:47:17 +03:00			`docs`
			`sphinx-docs`
Load model weights from URL or local checkpoint (#282) - Adds a parameter `weights_url` to DeepLearningConfig to download model weights from a URL. - Adds a parameter `local_weights_path` to DeepLearningConfig to initialize model weights from a local checkpoint. This can also be used to perform inference on a checkpoint from a local training run. - Refactors all checkpoint logic, including recovering from run_recovery into a class CheckpointHandler - Adds a parameter `epochs_to_test` to DeepLearningConfig which can be used to specify a list of epochs to test in a training/inference run. - Deprecates DeepLearningConfig parameters `test_diff_epochs`, `test_step_epochs` and `test_start_epoch`. Closes #178 Closes #297 2020-11-03 17:47:35 +03:00			`modelweights`
Add source code 2020-07-28 22:00:35 +03:00			`outputs`
			`logs`
Generate python notebook and html report for segmentation models (#200) closes #180 2020-09-22 11:53:38 +03:00			`test_outputs`
			`run_outputs`
Add source code 2020-07-28 22:00:35 +03:00			`# Test output from model registration`
			`TestsOutsidePackage/azureml-models`
Improve GPU resource monitoring (#296) - Compute aggregate metrics over the whole training run - Get allocated and reserved memory - Store aggregate metrics in AzureML Note, diagnostic metrics are no longer stored in AzureML. Tensorboard is better for vast amounts of metrics. 2020-10-26 19:44:08 +03:00			`tensorboard_runs`
Enable multi-node training (#385) - Enable training on multiple machines in AzureML - Exclude private settings files from AzureML snapshot 2021-02-08 17:21:50 +03:00			`InnerEyeTestVariables.txt`
			`InnerEyePrivateSettings.yml`
Add self-supervised learning capabilities to InnerEye (#440) 2021-05-07 16:27:38 +03:00			`cifar-10-batches-py`
Add histopathology module and add hi-ml as submodule (#603) * Add hi-ml submodule * Add Histopathology module * Add tests * update azure scripts * Address PR comments * mypy * Add changelog * Add hi-ml submodule Add Histopathology module Add tests update azure scripts Address PR comments mypy Add changelog Changes label * turn off logging outside of AML for now to get tests to pass * flake8 * flake8 * flake8 * Bug in init file * eclude histopathology datasets module from amlignore * exclude histopathology datasets module from amlignore * exclude histopathology datasets module from amlignore * exclude histopathology datasets module from amlignore * exclude histopathology datasets module from gitignore * exclude histopathology datasets module from gitignore * Address PR comments * Address PR comments * Minor change to requeue build 2021-12-06 20:23:17 +03:00			`cifar-100-python`
			`!**/InnerEye/ML/Histopathology/datasets`