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Integration:  dvc git github
d10865ab7d
README file updated
1 year ago
cdec371056
ci,yaml
1 year ago
ae8f091b4f
prepared ingeston and model
1 year ago
c9efedfc72
updated config.yaml
1 year ago
ec86c3826d
prediction service added
1 year ago
e4cf135e80
completed pipeline
1 year ago
src
e4cf135e80
completed pipeline
1 year ago
ae8f091b4f
prepared ingeston and model
1 year ago
e4cf135e80
completed pipeline
1 year ago
2ad81de11e
Initial commit
1 year ago
2ad81de11e
Initial commit
1 year ago
d10865ab7d
README file updated
1 year ago
e4cf135e80
completed pipeline
1 year ago
2ad81de11e
Initial commit
1 year ago
ae8f091b4f
prepared ingeston and model
1 year ago
2ad81de11e
Initial commit
1 year ago
ebf7243bb5
updated requirements file
1 year ago
ebf7243bb5
updated requirements file
1 year ago
2ad81de11e
Initial commit
1 year ago
2ad81de11e
Initial commit
1 year ago
2ad81de11e
Initial commit
1 year ago
2ad81de11e
Initial commit
1 year ago
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README.md

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deep Classifier project workflow Update config.yaml Update secrets.yaml [Optional] Update params.yaml Update the entity Update the configuration manager in src config. Update the components Update the pipeline Test run pipeline stage run tox for testing your package Update the dvc.yaml run "dvc repro" for running all the stages in pipeline img

STEP 1: Set the env variable | Get it from dagshub -> remote tab -> mlflow tab

MLFLOW_TRACKING_URI=https://github.com/4ST4ROTH/CNN_classifier.git MLFLOW_TRACKING_USERNAME=4ST4ROTH MLFLOW_TRACKING_PASSWORD=<> \

STEP 2: install mlflow

STEP 3: Set remote URI

STEP 4: Use context manager of mlflow to start run and then log metrics, params and model

Tip!

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This is my first end-to-end deep learning project

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