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dvc.lock
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schema: '2.0'
stages:
load_data:
cmd: python src/stage_01_load_and_save.py -c config/config.yaml
deps:
- path: config\config.yaml
md5: 7c18f778aed77899df28638a143900ea
size: 451
- path: src\stage_01_load_and_save.py
md5: fdff45fd7e644b8c5a24df8a827ea7e0
size: 1561
- path: src\utils\all_utils.py
md5: c37dff7d0468e0debda77d8e61776d84
size: 918
outs:
- path: artifacts\raw_local_dir\data.csv
md5: ec75c505d6d95b87e6ac3b09fb18d617
size: 20710
split_data:
cmd: python src/stage_02_split_data.py -c config/config.yaml -p params.yaml
deps:
- path: artifacts\raw_local_dir\data.csv
md5: ec75c505d6d95b87e6ac3b09fb18d617
size: 20710
- path: config\config.yaml
md5: 7c18f778aed77899df28638a143900ea
size: 451
- path: src\stage_02_split_data.py
md5: 2b8064b1edbc460a0dbddb69973fd9ef
size: 2363
- path: src\utils\all_utils.py
md5: c37dff7d0468e0debda77d8e61776d84
size: 918
params:
params.yaml:
base.random_state: 42
base.test_size: 0.2
outs:
- path: artifacts\split_data_dir\test.csv
md5: a1b038fe9ff7c1797f9790584900be5a
size: 4269
- path: artifacts\split_data_dir\train.csv
md5: cd1d7b4b4557ee385f303034744b4458
size: 16595
training:
cmd: python src/stage_03_train.py -c config/config.yaml -p params.yaml
deps:
- path: config\config.yaml
md5: 7c18f778aed77899df28638a143900ea
size: 451
- path: src\stage_02_split_data.py
md5: 2b8064b1edbc460a0dbddb69973fd9ef
size: 2363
- path: src\stage_03_train.py
md5: 33352263b439f87621c20f5780adc543
size: 4956
- path: src\utils\all_utils.py
md5: c37dff7d0468e0debda77d8e61776d84
size: 918
params:
params.yaml:
base.random_state: 42
model_params.random_forest.max_depth: 3
model_params.random_forest.max_features: sqrt
model_params.random_forest.min_samples_leaf: 1
model_params.random_forest.min_samples_split: 2
model_params.random_forest.model_name: RandomForestClassifier
model_params.random_forest.n_estimators: 100
outs:
- path: artifacts\model_dir\Random_Forest.pkl
md5: 756393438c04bf03463651e9e14448c9
size: 140178
- path: artifacts\model_dir\XGBoost.pkl
md5: 3e05ef3ad05363303a10aa15f74ad012
size: 115474
evaluate:
cmd: python src/stage_04_evaluate.py -c config/config.yaml -p params.yaml
deps:
- path: artifacts\model_dir\Random_Forest.pkl
md5: 756393438c04bf03463651e9e14448c9
size: 140178
- path: artifacts\model_dir\XGBoost.pkl
md5: 3e05ef3ad05363303a10aa15f74ad012
size: 115474
- path: artifacts\split_data_dir\test.csv
md5: a1b038fe9ff7c1797f9790584900be5a
size: 4269
- path: config\config.yaml
md5: 7c18f778aed77899df28638a143900ea
size: 451
- path: src\stage_03_train.py
md5: 33352263b439f87621c20f5780adc543
size: 4956
- path: src\stage_04_evaluate.py
md5: f9004dd41bcd2150dc4423c8d405c759
size: 5215
- path: src\utils\all_utils.py
md5: c37dff7d0468e0debda77d8e61776d84
size: 918
outs:
- path: artifacts\report_dir\rf_score.json
md5: d4a98995d9931e10056c5a3e3175d1d0
size: 107
- path: artifacts\report_dir\xgb_score.json
md5: 745f147a509d80851c9fd21570feec6d
size: 107
predict:
cmd: python src/app.py
deps:
- path: artifacts\model_dir\Random_Forest.pkl
md5: 756393438c04bf03463651e9e14448c9
size: 140178
- path: artifacts\model_dir\XGBoost.pkl
md5: 3e05ef3ad05363303a10aa15f74ad012
size: 115474
- path: artifacts\split_data_dir\test.csv
md5: a1b038fe9ff7c1797f9790584900be5a
size: 4269
- path: config\config.yaml
md5: 7c18f778aed77899df28638a143900ea
size: 451
- path: src\app.py
md5: d9e7b2781e613ecedaf9ea9307644c00
size: 4569
- path: src\templates\home.html
md5: ee7d3f980482d60605e672b476da5f3f
size: 7075
- path: src\utils\all_utils.py
md5: c37dff7d0468e0debda77d8e61776d84
size: 918