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Integration:  dvc git github
manotti22 a16242ae78
Merge branch 'master' of https://github.com/manotti22/deepCNNClassifier
1 year ago
b93f16fa50
dvc init
1 year ago
4376988e18
updated
1 year ago
0434ed591a
stage prediction added
1 year ago
406c1d4ae6
config updated
1 year ago
e1fd183c67
test_data_added
1 year ago
bca28f4a4b
stage prediction added
1 year ago
src
4c547e4911
evaluation stage completed
1 year ago
7b87239850
testing data completed
1 year ago
b93f16fa50
dvc init
1 year ago
0434ed591a
stage prediction added
1 year ago
188477c13e
Create LICENSE
1 year ago
7b87239850
testing data completed
1 year ago
6517c02804
dvc done
1 year ago
6517c02804
dvc done
1 year ago
37a89f4f41
init setup done
1 year ago
1 year ago
d011b0c669
st_02 base model added
1 year ago
2cf3f0566d
setup completed
1 year ago
6c783b095f
stage predict using streamlit and docker completd
1 year ago
0434ed591a
stage prediction added
1 year ago
2cf3f0566d
setup completed
1 year ago
2cf3f0566d
setup completed
1 year ago
28b9457e52
tests added
1 year ago
bf76a36d75
tox initiaized
1 year ago
Storage Buckets
Data Pipeline
Legend
DVC Managed File
Git Managed File
Metric
Stage File
External File

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://dagshub.com/manotti22/deepCNNClassifier.mlflow MLFLOW_TRACKING_USERNAME=manotti22 MLFLOW_TRACKING_PASSWORD=your_token

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

Sample data for testing-

https://raw.githubusercontent.com/c17hawke/raw_data/main/sample_data.zip

Tip!

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