Added MLOps pipeline and new WordSegmenterCNN class #43
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• Dockerfile and cloudbuild_yaml added to run cloud build scripts and containerize codebase • added download_from_gcs, save_training_plot, upload_to_gcs in helpers.py • modified word_segmenter to save history plots and upload model to cloud storage if trained on vertex AI • added requirements.txt • added train.py for training on the cloud • fixed typo on README.md • added Cloud Usage.md to walkthrough setting up ML training pipeline
• Dockerfile and cloudbuild_yaml added to run cloud build scripts and containerize codebase • added download_from_gcs, save_training_plot, upload_to_gcs in helpers.py • modified word_segmenter to save history plots and upload model to cloud storage if trained on vertex AI • added requirements.txt • added train.py for training on the cloud • fixed typo on README.md • added Cloud Usage.md to walkthrough setting up ML training pipeline
SahandFarhoodi
approved these changes
Jul 15, 2025
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@sffc @SahandFarhoodi Hi Shane and Sahand, this is the new polished code of both MLOps pipeline and CNN model (word_segmenter_cnn.py). I've also included a sample CNN model in the Models directory if anyone is interested to test it. I could also remove it if its unnecessary for now. |
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@sffc Hi Shane, may I ask if you could also help me review and merge the changes? Thank you |
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• added Dockerfile and cloudbuild_yaml added to run cloud build scripts and containerize codebase
• added download_from_gcs, save_training_plot, upload_to_gcs in helpers.py
• modified word_segmenter.py to save history plots and upload model to cloud storage if trained on vertex AI
• added requirements.txt
• added train.py for training on the cloud
• fixed typo on README.md
• added Cloud Usage.md to walkthrough setting up ML training pipeline