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dvc.lock
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dvc.lock
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schema: '2.0'
stages:
prepare:
cmd: python -m src.features.prepare
deps:
- path: data/raw/test.csv
md5: dcec4b79bf9c7317bd9e17789bf888f0
size: 451405
- path: data/raw/train.csv
md5: 80ccab65fb115cbad143dbbd2bcd5577
size: 460676
- path: src/features/prepare.py
hash: md5
md5: a6818a3358d0c52db5d18e9b29fc4528
size: 2624
params:
params.yaml:
prepare.random_state: 2023
prepare.test_size: 0.2
prepare.train_size: 0.8
outs:
- path: data/processed/X_train.csv
hash: md5
md5: 8d638fac80a1e3c3da133026423213e9
size: 212998
- path: data/processed/X_valid.csv
hash: md5
md5: b85d6dbfb6162db6cc70283c522301a0
size: 53655
- path: data/processed/y_train.csv
hash: md5
md5: 37e44c3a394132f52cdc69cc50842abd
size: 13058
- path: data/processed/y_valid.csv
hash: md5
md5: a06f9b382ed2a355bdf82b09d524f76c
size: 3267
train:
cmd: python -m src.models.train
deps:
- path: data/processed/X_train.csv
hash: md5
md5: 8d638fac80a1e3c3da133026423213e9
size: 212998
- path: data/processed/y_train.csv
hash: md5
md5: 37e44c3a394132f52cdc69cc50842abd
size: 13058
- path: src/models/train.py
hash: md5
md5: 547ebabb2819d96302c9ae7b976db7cb
size: 2372
params:
params.yaml:
train.algorithm: RandomForestRegressor
train.random_state: 2023
outs:
- path: metrics/emissions.csv
hash: md5
md5: bbe1ece7840332fdec16dd0f8875a990
size: 835
- path: models/iowa_model.pkl
hash: md5
md5: 7b574e610b74cec0c45ff248df286bbf
size: 11841033
evaluate:
cmd: python -m src.models.evaluate
deps:
- path: data/processed/X_valid.csv
hash: md5
md5: b85d6dbfb6162db6cc70283c522301a0
size: 53655
- path: data/processed/y_valid.csv
hash: md5
md5: a06f9b382ed2a355bdf82b09d524f76c
size: 3267
- path: models/iowa_model.pkl
hash: md5
md5: 7b574e610b74cec0c45ff248df286bbf
size: 11841033
- path: src/models/evaluate.py
hash: md5
md5: 88d02f596efa25ca14cb3bb5f981149b
size: 2454
outs:
- path: metrics/scores.json
hash: md5
md5: c7669d66963537863f6fe636724bfa76
size: 78