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dvc.lock
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schema: '2.0'
stages:
load_data:
cmd: python src\load_data.py --config=params.yaml
deps:
- path: data_given\Mall_Customers.csv
md5: fa68f23677495652d6498d63e67b744f
size: 3981
- path: src\get_data.py
md5: 4f990b7136dd3cadbf5ba774cf7f6520
size: 676
- path: src\load_data.py
md5: 540ef7967c0dd2a4ad883fe32436b95e
size: 587
outs:
- path: data\raw\Mall_Customers.csv
md5: fa68f23677495652d6498d63e67b744f
size: 3981
process_data:
cmd: python src\process_data.py --config=params.yaml
deps:
- path: data\raw\Mall_Customers.csv
md5: fa68f23677495652d6498d63e67b744f
size: 3981
- path: src\process_data.py
md5: 8366d6d3e9fd2470bbd0daf90138c939
size: 789
outs:
- path: data\processed\Mall_Customers.csv
md5: fa68f23677495652d6498d63e67b744f
size: 3981
train_and_evaluate:
cmd: python src\train_and_evaluate.py --config=params.yaml
deps:
- path: data\processed\Mall_Customers.csv
md5: fa68f23677495652d6498d63e67b744f
size: 3981
- path: src\train_and_evaluate.py
md5: 0b1c07b1954e252ba40f36bd893842f7
size: 4062
params:
params.yaml:
estimators.KMeans.params.n_clusters: 8
outs:
- path: data\trained\Mall_Customers.csv
md5: 3fa65e12273bb833de8f90167b61f12d
size: 2861
log_production_model:
cmd: python src\log_production_model.py --config=params.yaml
deps:
- path: src\log_production_model.py
md5: 1c9948ce44e822eec7abcb5188fad960
size: 2035
outs:
- path: prediction_service\model\model.joblib
md5: edaa0a3b13e5d328763719def8e54ee6
size: 2236
- path: saved_models\model.joblib
md5: edaa0a3b13e5d328763719def8e54ee6
size: 2236