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using good model 4000s

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This commit is contained in:
Michael Duong 2023-10-12 08:38:55 +00:00
parent 680e879503
commit f2cc32f4b4
2 changed files with 26 additions and 26 deletions
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4
modules/ml-pipeline/src/pipeline/configs/build_model.yaml
View file

@ -13,6 +13,6 @@ default:
output_filepath: ./data/model/allmodels/
problem_type: regression
eval_metric: mean_squared_error #mean_absolute_error
time_limit: 400
presets: medium_quality
time_limit: 4000
presets: good_quality
excluded_model_types: ['KNN', 'RF']

48
modules/ml-pipeline/src/pipeline/dvc.lock
View file

@ -29,8 +29,8 @@ stages:
outs:
- path: data/prepared_data/
hash: md5
md5: 5fd3c01804ee2994ee77fc501d178be4.dir
size: 30137355
md5: 91407be844d5cfe428bf9d09e980fc0e.dir
size: 30051355
nfiles: 2
build_model:
cmd: python 2_build_model.py
@ -41,8 +41,8 @@ stages:
size: 5359
- path: data/prepared_data
hash: md5
md5: 5fd3c01804ee2994ee77fc501d178be4.dir
size: 30137355
md5: 91407be844d5cfe428bf9d09e980fc0e.dir
size: 30051355
nfiles: 2
params:
configs/build_model.yaml:
@ -58,21 +58,21 @@ stages:
output_filepath: ./data/model/allmodels/
problem_type: regression
eval_metric: mean_squared_error
time_limit: 400
presets: medium_quality
time_limit: 4000
presets: good_quality
excluded_model_types:
- KNN
- RF
outs:
- path: data/model/
hash: md5
md5: 4b49c12395a645e35e50a9de8840f08d.dir
size: 282024140
nfiles: 24
md5: 229de034422caa37a4e24366b572bc29.dir
size: 317288619
nfiles: 138
- path: metrics/fit_metrics.json
hash: md5
md5: a6d139fa59f5ddf75023bb7d3364f6d2
size: 225
md5: 50005e7cbac69d6c888cdd0f929b9240
size: 226
generate_predictions:
cmd: python 3_generate_predictions.py
deps:
@ -82,13 +82,13 @@ stages:
size: 3028
- path: data/model
hash: md5
md5: 4b49c12395a645e35e50a9de8840f08d.dir
size: 282024140
nfiles: 24
md5: 229de034422caa37a4e24366b572bc29.dir
size: 317288619
nfiles: 138
- path: data/prepared_data
hash: md5
md5: 5fd3c01804ee2994ee77fc501d178be4.dir
size: 30137355
md5: 91407be844d5cfe428bf9d09e980fc0e.dir
size: 30051355
nfiles: 2
params:
configs/settings.yaml:
@ -100,8 +100,8 @@ stages:
outs:
- path: data/predictions/
hash: md5
md5: 8f724261b3d17bf87067e91a1ff99077.dir
size: 441423
md5: 40d5bf4d265018e8a181287846e4f892.dir
size: 441331
nfiles: 1
generate_metrics:
cmd: python 4_generate_metrics.py
@ -112,13 +112,13 @@ stages:
size: 4487
- path: data/predictions
hash: md5
md5: 8f724261b3d17bf87067e91a1ff99077.dir
size: 441423
md5: 40d5bf4d265018e8a181287846e4f892.dir
size: 441331
nfiles: 1
- path: data/prepared_data
hash: md5
md5: 5fd3c01804ee2994ee77fc501d178be4.dir
size: 30137355
md5: 91407be844d5cfe428bf9d09e980fc0e.dir
size: 30051355
nfiles: 2
params:
configs/settings.yaml:
@ -128,8 +128,8 @@ stages:
outs:
- path: metrics/metrics.json
hash: md5
md5: 38787835f838f65c6cc75654843eb311
size: 223
md5: d6217ba41c60e4ec452670faf07321ab
size: 224
startup_cleanup:
cmd: python 0_startup_cleanup.py
deps: