new carbon model with new u value generation

This commit is contained in:
Michael Duong 2024-10-09 13:24:47 +01:00
parent 2fa6a51c98
commit 6f08113f2b
2 changed files with 23 additions and 22 deletions

View file

@ -19,7 +19,8 @@ default:
input_dataclient_type: aws-s3
output_dataclient_type: local
# data_filepath: s3://retrofit-data-dev/sap_change_model/2024-05-28-19-08-25/dataset_rooms.parquet
data_filepath: s3://retrofit-data-dev/sap_change_model/2024-10-03-22-57-23/dataset_rooms.parquet
# data_filepath: s3://retrofit-data-dev/sap_change_model/2024-10-03-22-57-23/dataset_rooms.parquet
data_filepath: s3://retrofit-data-dev/sap_change_model/2024-07-10-20-28-54/dataset_rooms.parquet
train_proportion: 0.9
output_train_filepath: ./data/prepared_data/train.parquet
output_test_filepath: ./data/prepared_data/test.parquet

View file

@ -46,7 +46,7 @@ stages:
default.feature_processor.feature_processor_config.target: carbon_ending
default.feature_processor.feature_processor_type: dataframe
default.prepare_data.data_filepath:
s3://retrofit-data-dev/sap_change_model/2024-10-03-22-57-23/dataset_rooms.parquet
s3://retrofit-data-dev/sap_change_model/2024-07-10-20-28-54/dataset_rooms.parquet
default.prepare_data.input_dataclient_type: aws-s3
default.prepare_data.output_dataclient_type: local
default.prepare_data.output_test_filepath: ./data/prepared_data/test.parquet
@ -55,8 +55,8 @@ stages:
outs:
- path: data/prepared_data/
hash: md5
md5: f96aaa1181655a1bef313542f037b346.dir
size: 40772097
md5: 29314b464c692ad9d33c935337c00830.dir
size: 39932302
nfiles: 2
build_model:
cmd: python 2_build_model.py
@ -67,8 +67,8 @@ stages:
size: 4820
- path: data/prepared_data
hash: md5
md5: f96aaa1181655a1bef313542f037b346.dir
size: 40772097
md5: 29314b464c692ad9d33c935337c00830.dir
size: 39932302
nfiles: 2
params:
configs/build_model.yaml:
@ -100,17 +100,17 @@ stages:
outs:
- path: data/fit_predictions/
hash: md5
md5: 821aace9a1dfb8b2adb507f4d7e6b36b.dir
size: 3995384
md5: 7b7fcc11334b15fde7f66622ab0e57a9.dir
size: 3766689
nfiles: 1
- path: data/model/
hash: md5
md5: fde129c8b8610bdaecc3d28f4cfc6608.dir
size: 751284807
md5: 9711e64fb1ea399676c232e941cc47c8.dir
size: 754702754
nfiles: 36
- path: metrics/fit_metrics.json
hash: md5
md5: 471606cbb7d4f3e62fb94b493d3ec858
md5: 91ac2d006b4312a6c9507f66b24463ed
size: 227
generate_predictions:
cmd: python 3_generate_predictions.py
@ -121,13 +121,13 @@ stages:
size: 2464
- path: data/model
hash: md5
md5: fde129c8b8610bdaecc3d28f4cfc6608.dir
size: 751284807
md5: 9711e64fb1ea399676c232e941cc47c8.dir
size: 754702754
nfiles: 36
- path: data/prepared_data
hash: md5
md5: f96aaa1181655a1bef313542f037b346.dir
size: 40772097
md5: 29314b464c692ad9d33c935337c00830.dir
size: 39932302
nfiles: 2
params:
configs/settings.yaml:
@ -139,8 +139,8 @@ stages:
outs:
- path: data/predictions/
hash: md5
md5: 985d380681ab1f7645015a67b695b633.dir
size: 557231
md5: 42655d4e7a618ea515ef881efea5132a.dir
size: 515279
nfiles: 1
generate_metrics:
cmd: python 4_generate_metrics.py
@ -151,13 +151,13 @@ stages:
size: 3484
- path: data/predictions
hash: md5
md5: 985d380681ab1f7645015a67b695b633.dir
size: 557231
md5: 42655d4e7a618ea515ef881efea5132a.dir
size: 515279
nfiles: 1
- path: data/prepared_data
hash: md5
md5: f96aaa1181655a1bef313542f037b346.dir
size: 40772097
md5: 29314b464c692ad9d33c935337c00830.dir
size: 39932302
nfiles: 2
params:
configs/settings.yaml:
@ -167,7 +167,7 @@ stages:
outs:
- path: metrics/metrics.json
hash: md5
md5: 9cc5f3a42681b321c26c414589ba561e
md5: 020ebcd0fdc225dedbad7949d31f7a12
size: 226
generate_scenerio_metrics:
cmd: python 5_generate_scenarios.py