Computer vision dev with online training branch complete #22
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Review the folder/file structure. 1. Added Dataset YAML to run as a job 2. Added environment build YAML 3. Added CV training YAML.
missed the file in the commit.
* Working MLFlow model * Registration is done using log_model and register_model
* label mapping to output from the API is stored in the label-mapping.txt. This file can be used together with the output from the API to map the list of floats to the dogs' class. Formatting fixes Adding the DevOps Pipeline Update deploy-model-training-pipeline.yml Updating the template path (Temporary - Fix) Update deploy-model-training-pipeline.yml for Azure Pipelines Update deploy-model-training-pipeline.yml for Azure Pipelines Update deploy-model-training-pipeline.yml for Azure Pipelines Update deploy-model-training-pipeline.yml for Azure Pipelines Update deploy-model-training-pipeline.yml fixes to the path Hardcoding the variables Temporary fixing the resource names to test the e2e pipeline Update the online deployment pipeline [skip ci] Update deploy-online-endpoint-pipeline.yml for Azure Pipelines Create a sample request for the online api Update deploy-online-endpoint-pipeline.yml Update deploy-online-endpoint-pipeline.yml Update deploy-online-endpoint-pipeline.yml for Azure Pipelines Updated the VM with large memory Standard_F2s_v2 run out of memory when setting up the CV container. Update online-deployment.yml Update train model to use float instead of double Fixing the double/float issue Update train.py Update train.py
* Removed used imports * Scheduler was not used in the train step. Added it back in.
* Fixed the parameter for data_type in register_dataset step
Since the return type is contitional, LGTM is not able to determine that its an iterator
cindyweng
approved these changes
Jun 3, 2022
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This pull request introduces 1 alert when merging 28db38b into 93b1862 - view on LGTM.com new alerts:
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Finished the development of the Computer Vision Pipeline: