Merge pull request #128 from Hestia-Homes/hotwater-dev-model

Hotwater dev model
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KhalimCK 2024-07-05 12:38:00 +01:00 committed by GitHub
commit ecd0f4d49c
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7 changed files with 45 additions and 41 deletions

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@ -2,7 +2,7 @@ name: Sap Change Model Deploy
on:
push:
branches: [ sap-dev, sap-prod, heat-dev, heat-prod, carbon-dev, carbon-prod]
branches: [ sap-dev, sap-prod, heat-dev, heat-prod, carbon-dev, carbon-prod, hotwater-dev, hotwater-prod ]
jobs:
deploy:

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@ -13,6 +13,7 @@ on:
- "sap-dev"
- "heat-dev"
- "carbon-dev"
- "hotwater-dev"
permissions: write-all

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@ -5,7 +5,7 @@ on:
# branches:
# - "model-**"
pull_request:
branches: ["sap-dev", "heat-dev", "carbon-dev"]
branches: ["sap-dev", "heat-dev", "carbon-dev", "hotwater-dev"]
label:
types: ["created", "edited"]

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@ -30,6 +30,6 @@ def clip_predictions_to_minimum_value(
post_prediction_logic = {
"clip_predictions_to_minimum_value": clip_predictions_to_minimum_value,
# "clip_predictions_to_minimum_value": clip_predictions_to_minimum_value,
# "round_predictions": round_predictions
}

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@ -8,6 +8,6 @@ default:
# - s3://retrofit-data-dev/scenario_data/27-03-2024-11-38-15/recommendations_scoring_data.parquet
# - s3://retrofit-data-dev/scenario_data/26-05-2024-08-47-45/recommendations_scoring_data.parquet
# - s3://retrofit-data-dev/scenario_data/26-05-2024-10-44-53/recommendations_scoring_data.parquet
- s3://retrofit-data-dev/scenario_data/28-05-2024-19-22-41/recommendations_scoring_data.parquet
# - s3://retrofit-data-dev/scenario_data/28-05-2024-19-22-41/recommendations_scoring_data.parquet
comparison_output_filepath: ./metrics/scenario_table.md
metrics_output_filepath: ./metrics/scenario_metrics.md

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@ -21,7 +21,8 @@ default:
# data_filepath: s3://retrofit-data-dev/sap_change_model/2024-03-22-18-56-53/dataset_rooms.parquet
# data_filepath: s3://retrofit-data-dev/sap_change_model/2024-05-25-08-36-36/dataset_rooms.parquet
# data_filepath: s3://retrofit-data-dev/sap_change_model/2024-05-26-10-31-39/dataset_rooms.parquet
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/2024-05-28-19-08-25/dataset_rooms.parquet
data_filepath: s3://retrofit-data-dev/sap_change_model/2024-07-03-23-11-39/dataset_rooms.parquet
train_proportion: 0.9
output_train_filepath: ./data/prepared_data/train.parquet
output_test_filepath: ./data/prepared_data/test.parquet
@ -31,11 +32,13 @@ default:
feature_processor_config:
subsample_amount: null
subsample_seed: 0
target: sap_ending
target: hot_water_cost_ending
identifier_columns: ["uprn"]
# drop_columns: ["heat_demand_change", "carbon_change", "rdsap_change", "heat_demand_ending", "carbon_ending", "days_to_starting", "days_to_ending"]
drop_columns: [
"heat_demand_change", "carbon_change", "rdsap_change", "heat_demand_ending", "carbon_ending", "days_to_starting", "days_to_ending",
"sap_ending", "heat_demand_change", "carbon_change", "rdsap_change", "heat_demand_ending", "carbon_ending",
"lighting_cost_ending", "heating_cost_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']
retain_features: null

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@ -21,13 +21,14 @@ stages:
params:
configs/settings.yaml:
default.feature_processor.feature_processor_config.drop_columns:
- sap_ending
- heat_demand_change
- carbon_change
- rdsap_change
- heat_demand_ending
- carbon_ending
- days_to_starting
- days_to_ending
- lighting_cost_ending
- heating_cost_ending
- number_habitable_rooms_starting
- number_habitable_rooms_ending
- number_heated_rooms_starting
@ -37,10 +38,10 @@ stages:
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_config.target: hot_water_cost_ending
default.feature_processor.feature_processor_type: dataframe
default.prepare_data.data_filepath:
s3://retrofit-data-dev/sap_change_model/2024-05-28-19-08-25/dataset_rooms.parquet
default.prepare_data.data_filepath:
s3://retrofit-data-dev/sap_change_model/2024-07-03-23-11-39/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
@ -49,8 +50,8 @@ stages:
outs:
- path: data/prepared_data/
hash: md5
md5: 80c9e138146a1d96b9d16091c207e2e8.dir
size: 45056059
md5: 782e258411cf655c0a5c8437c20459d9.dir
size: 49160755
nfiles: 2
build_model:
cmd: python 2_build_model.py
@ -61,8 +62,8 @@ stages:
size: 4820
- path: data/prepared_data
hash: md5
md5: 80c9e138146a1d96b9d16091c207e2e8.dir
size: 45056059
md5: 782e258411cf655c0a5c8437c20459d9.dir
size: 49160755
nfiles: 2
params:
configs/build_model.yaml:
@ -94,18 +95,18 @@ stages:
outs:
- path: data/fit_predictions/
hash: md5
md5: d9c9afc05e8780db47c0548b19bf7d19.dir
size: 3349989
md5: f292cc6ddbe9c8f1efea8107a776ce16.dir
size: 3444061
nfiles: 1
- path: data/model/
hash: md5
md5: 13c3100e1486c27a83a8a47491077842.dir
size: 773523079
nfiles: 36
md5: 48cfeca19c3d7ac956704abb425bb2ab.dir
size: 729294819
nfiles: 35
- path: metrics/fit_metrics.json
hash: md5
md5: 2ff70a2a45813e1bcdf2ea3aa8e07d4a
size: 224
md5: 2e253c8b9ffc101aad95fc09fb4586c2
size: 222
generate_predictions:
cmd: python 3_generate_predictions.py
deps:
@ -115,13 +116,13 @@ stages:
size: 2464
- path: data/model
hash: md5
md5: 13c3100e1486c27a83a8a47491077842.dir
size: 773523079
nfiles: 36
md5: 48cfeca19c3d7ac956704abb425bb2ab.dir
size: 729294819
nfiles: 35
- path: data/prepared_data
hash: md5
md5: 80c9e138146a1d96b9d16091c207e2e8.dir
size: 45056059
md5: 782e258411cf655c0a5c8437c20459d9.dir
size: 49160755
nfiles: 2
params:
configs/settings.yaml:
@ -133,8 +134,8 @@ stages:
outs:
- path: data/predictions/
hash: md5
md5: 5d07bcebf3160a72bb18dfd79106e85c.dir
size: 463197
md5: bdb3afe72fa8ad9e56997f7da659778e.dir
size: 480363
nfiles: 1
generate_metrics:
cmd: python 4_generate_metrics.py
@ -145,13 +146,13 @@ stages:
size: 3484
- path: data/predictions
hash: md5
md5: 5d07bcebf3160a72bb18dfd79106e85c.dir
size: 463197
md5: bdb3afe72fa8ad9e56997f7da659778e.dir
size: 480363
nfiles: 1
- path: data/prepared_data
hash: md5
md5: 80c9e138146a1d96b9d16091c207e2e8.dir
size: 45056059
md5: 782e258411cf655c0a5c8437c20459d9.dir
size: 49160755
nfiles: 2
params:
configs/settings.yaml:
@ -161,8 +162,8 @@ stages:
outs:
- path: metrics/metrics.json
hash: md5
md5: 3e08df02fd5c5d094bcf936e1338d596
size: 223
md5: fb65d79e41782ebc1f616fa6e0e8bec1
size: 220
generate_scenerio_metrics:
cmd: python 5_generate_scenarios.py
deps:
@ -176,15 +177,14 @@ stages:
input_dataclient_type: aws-s3
output_dataclient_type: local
scenario_data_filepaths:
- s3://retrofit-data-dev/scenario_data/28-05-2024-19-22-41/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: fa4d6d7bbd7818613800da5f8f37ea96
size: 363
md5: d41d8cd98f00b204e9800998ecf8427e
size: 0
- path: metrics/scenario_table.md
hash: md5
md5: d6baf100a1623cc2467c2f8221d314c9
size: 2133
md5: d41d8cd98f00b204e9800998ecf8427e
size: 0