Merge pull request #150 from Hestia-Homes/sap-dev-floorthermal

Sap dev floorthermal
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KhalimCK 2024-10-16 17:02:27 +01:00 committed by GitHub
commit c76913e31b
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3 changed files with 39 additions and 32 deletions

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@ -5,6 +5,8 @@ default:
scenario_data_filepaths:
# - s3://retrofit-data-dev/scenario_data/28-05-2024-19-22-41/recommendations_scoring_data.parquet
# - s3://retrofit-data-dev/scenario_data/07-10-2024-16-26-06/recommendations_scoring_data.parquet
- s3://retrofit-data-dev/scenario_data/08-10-2024-15-07-33/recommendations_scoring_data.parquet
# - s3://retrofit-data-dev/scenario_data/08-10-2024-15-07-33/recommendations_scoring_data.parquet
# - s3://retrofit-data-dev/scenario_data/08-10-2024-22-18-44/recommendations_scoring_data.parquet
- s3://retrofit-data-dev/scenario_data/09-10-2024-18-21-08/recommendations_scoring_data.parquet
comparison_output_filepath: ./metrics/scenario_table.md
metrics_output_filepath: ./metrics/scenario_metrics.md

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/2024-10-08-21-58-03/dataset_rooms.parquet
train_proportion: 0.9
output_train_filepath: ./data/prepared_data/train.parquet
output_test_filepath: ./data/prepared_data/test.parquet
@ -35,7 +36,9 @@ default:
drop_columns: [
"heat_demand_change", "carbon_change", "rdsap_change", "heat_demand_ending", "carbon_ending", "days_to_starting", "days_to_ending",
'number_habitable_rooms_starting', 'number_habitable_rooms_ending', 'number_heated_rooms_starting', 'number_heated_rooms_ending',
'number_habitable_rooms', 'number_heated_rooms', 'lighting_cost_starting', 'lighting_cost_ending', 'heating_cost_starting', 'heating_cost_ending', 'hot_water_cost_starting', 'hot_water_cost_ending',]
'number_habitable_rooms', 'number_heated_rooms', 'lighting_cost_starting',
'lighting_cost_ending', 'heating_cost_starting', 'heating_cost_ending', 'hot_water_cost_starting', 'hot_water_cost_ending',
'floor_thermal_transmittance', 'floor_thermal_transmittance_ending']
retain_features: null
# retain_features: ['uprn', 'sap_starting', 'hot_water_energy_eff_ending',
# 'mainheat_energy_eff_ending', 'constituency', 'roof_energy_eff_ending',

View file

@ -40,13 +40,15 @@ stages:
- heating_cost_ending
- hot_water_cost_starting
- hot_water_cost_ending
- floor_thermal_transmittance
- floor_thermal_transmittance_ending
default.feature_processor.feature_processor_config.retain_features:
default.feature_processor.feature_processor_config.subsample_amount:
default.feature_processor.feature_processor_config.subsample_seed: 0
default.feature_processor.feature_processor_config.target: sap_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/2024-10-08-21-58-03/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 +57,8 @@ stages:
outs:
- path: data/prepared_data/
hash: md5
md5: 8ce9c629a531d54fa9b0bfc305391400.dir
size: 49665833
md5: 9159a400187e6d65687b5e411a4cb0de.dir
size: 48034631
nfiles: 2
build_model:
cmd: python 2_build_model.py
@ -67,8 +69,8 @@ stages:
size: 4820
- path: data/prepared_data
hash: md5
md5: 8ce9c629a531d54fa9b0bfc305391400.dir
size: 49665833
md5: 9159a400187e6d65687b5e411a4cb0de.dir
size: 48034631
nfiles: 2
params:
configs/build_model.yaml:
@ -100,18 +102,18 @@ stages:
outs:
- path: data/fit_predictions/
hash: md5
md5: 9dafd875d76676a06890af9be8778567.dir
size: 3617506
md5: 6ac50c46e6fd740ccf76da4c2bf6735d.dir
size: 3615441
nfiles: 1
- path: data/model/
hash: md5
md5: 36fb8323508e968a297d650954ccbc58.dir
size: 800833479
nfiles: 36
md5: 2212643103819177f58da1d3063c8c94.dir
size: 761489901
nfiles: 35
- path: metrics/fit_metrics.json
hash: md5
md5: e2bc34ae26afbb854f0b021d12b1b569
size: 223
md5: d379cf95e07eb7c8797b4b766f8292cf
size: 225
generate_predictions:
cmd: python 3_generate_predictions.py
deps:
@ -121,13 +123,13 @@ stages:
size: 2464
- path: data/model
hash: md5
md5: 36fb8323508e968a297d650954ccbc58.dir
size: 800833479
nfiles: 36
md5: 2212643103819177f58da1d3063c8c94.dir
size: 761489901
nfiles: 35
- path: data/prepared_data
hash: md5
md5: 8ce9c629a531d54fa9b0bfc305391400.dir
size: 49665833
md5: 9159a400187e6d65687b5e411a4cb0de.dir
size: 48034631
nfiles: 2
params:
configs/settings.yaml:
@ -139,8 +141,8 @@ stages:
outs:
- path: data/predictions/
hash: md5
md5: 8f4de36de171006cb6d9eacff7718ba3.dir
size: 508400
md5: e8bd8e8ba88a667ccea645890d348e62.dir
size: 507948
nfiles: 1
generate_metrics:
cmd: python 4_generate_metrics.py
@ -151,13 +153,13 @@ stages:
size: 3484
- path: data/predictions
hash: md5
md5: 8f4de36de171006cb6d9eacff7718ba3.dir
size: 508400
md5: e8bd8e8ba88a667ccea645890d348e62.dir
size: 507948
nfiles: 1
- path: data/prepared_data
hash: md5
md5: 8ce9c629a531d54fa9b0bfc305391400.dir
size: 49665833
md5: 9159a400187e6d65687b5e411a4cb0de.dir
size: 48034631
nfiles: 2
params:
configs/settings.yaml:
@ -167,7 +169,7 @@ stages:
outs:
- path: metrics/metrics.json
hash: md5
md5: 58e25eb5e1699dbb33e78af9ba4c2964
md5: a8cf405272776730f5818d50b20c6f43
size: 222
generate_scenerio_metrics:
cmd: python 5_generate_scenarios.py
@ -182,15 +184,15 @@ stages:
input_dataclient_type: aws-s3
output_dataclient_type: local
scenario_data_filepaths:
- s3://retrofit-data-dev/scenario_data/08-10-2024-15-07-33/recommendations_scoring_data.parquet
- s3://retrofit-data-dev/scenario_data/09-10-2024-18-21-08/recommendations_scoring_data.parquet
comparison_output_filepath: ./metrics/scenario_table.md
metrics_output_filepath: ./metrics/scenario_metrics.md
outs:
- path: metrics/scenario_metrics.md
hash: md5
md5: 746ffa7d10fcdceaf2330d07c7ee623b
size: 363
md5: a5d9c42d38ef50e4fdf99a3e6043af2a
size: 356
- path: metrics/scenario_table.md
hash: md5
md5: 3b7dfc36054bce065f849423abf31a5d
size: 969
md5: 3e48c953451af8852572299b66988910
size: 872