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Integration:  git github
b2f424e485
dvc lock and training
1 year ago
6f8e8a99db
master and main interchanged
1 year ago
b2f424e485
dvc lock and training
1 year ago
68c3b717e5
call backs and training dir are added
1 year ago
1 year ago
447b4e23e3
stage 3 and stage 4 are added
1 year ago
src
447b4e23e3
stage 3 and stage 4 are added
1 year ago
bd93edc323
format changes only
1 year ago
be25dac836
stage_2 and dvc are added
1 year ago
377ef16d6e
models added
1 year ago
dd73c838e8
Create LICENSE
1 year ago
2705f11c31
deep imports for DI
1 year ago
b2f424e485
dvc lock and training
1 year ago
1d2b4a475d
misspelling corected
1 year ago
4dd9f567ec
init setup changes
1 year ago
aaf9b257a6
batch size is now 32
1 year ago
4000ac368d
setup complete
1 year ago
d384082c7a
scipy added
1 year ago
5f405385c0
scipy spelling mistake is corrected
1 year ago
4000ac368d
setup complete
1 year ago
4000ac368d
setup complete
1 year ago
bd93edc323
format changes only
1 year ago
c3eaeb6794
requirements added
1 year ago
Storage Buckets

README.md

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deep Classifier project

workflow

  1. Update config.yaml
  2. Update secrets.yaml [Optional]
  3. Update params.yaml
  4. Update the src/entity
  5. Update the configiration manager in src/config
  6. Update the src/components
  7. Update the pipeline
  8. Test run your pipeline stage
  9. Run tox for testing your package
  10. Update the dvc.yaml
  11. run "dvc repo" for running all the stages in pipeline img
Tip!

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