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remove the same feature: cost, photo and mainheat

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This commit is contained in:
Michael Duong 2024-08-09 10:54:22 +01:00
parent 294d9017f1
commit 1ad96ed314
2 changed files with 28 additions and 33 deletions
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10
modules/ml-pipeline/src/pipeline/configs/settings.yaml
View file

@ -33,9 +33,9 @@ default:
drop_columns: ["heating_kwh"]
retain_features: [
'uprn',
'heating-cost-current',
# 'heating-cost-current',
'co2-emissions-current',
'hot-water-cost-current',
# 'hot-water-cost-current',
'total-floor-area',
'secondheat-description',
'floor-description',
@ -64,7 +64,7 @@ default:
'number-open-fireplaces',
'number-heated-rooms',
'windows-description',
'photo-supply',
# 'photo-supply',
'heat-loss-corridor',
'flat-top-storey',
'unheated-corridor-length',
@ -78,9 +78,9 @@ default:
'transaction-type',
'floor-energy-eff',
'lodgement-month',
'lighting-cost-current',
# 'lighting-cost-current',
'glazed-area',
'main-heating-controls',
# 'main-heating-controls',
'estimate_annual_kwh',
]

51
modules/ml-pipeline/src/pipeline/dvc.lock
View file

@ -24,9 +24,7 @@ stages:
- heating_kwh
default.feature_processor.feature_processor_config.retain_features:
- uprn
- heating-cost-current
- co2-emissions-current
- hot-water-cost-current
- total-floor-area
- secondheat-description
- floor-description
@ -55,7 +53,6 @@ stages:
- number-open-fireplaces
- number-heated-rooms
- windows-description
- photo-supply
- heat-loss-corridor
- flat-top-storey
- unheated-corridor-length
@ -69,9 +66,7 @@ stages:
- transaction-type
- floor-energy-eff
- lodgement-month
- lighting-cost-current
- glazed-area
- main-heating-controls
- estimate_annual_kwh
default.feature_processor.feature_processor_config.subsample_amount:
default.feature_processor.feature_processor_config.subsample_seed: 0
@ -87,8 +82,8 @@ stages:
outs:
- path: data/prepared_data/
hash: md5
md5: 19abfc15e24cd8a869a0f3f087e09584.dir
size: 13396685
md5: c45c73e2e25a5c9697a788cfa04f232d.dir
size: 11682246
nfiles: 2
build_model:
cmd: python 2_build_model.py
@ -99,8 +94,8 @@ stages:
size: 4820
- path: data/prepared_data
hash: md5
md5: 19abfc15e24cd8a869a0f3f087e09584.dir
size: 13396685
md5: c45c73e2e25a5c9697a788cfa04f232d.dir
size: 11682246
nfiles: 2
params:
configs/build_model.yaml:
@ -132,17 +127,17 @@ stages:
outs:
- path: data/fit_predictions/
hash: md5
md5: 0e2f1131b24eafa09ccbab91a36cac6c.dir
size: 1787805
md5: 6abffc8f19e3bb14345f0504a96fd214.dir
size: 1788386
nfiles: 1
- path: data/model/
hash: md5
md5: 77c0900cda64c1beaef6782d04fd712e.dir
size: 518798187
nfiles: 36
md5: aee2886545c62efbf26d49f32bd1f328.dir
size: 79940408
nfiles: 35
- path: metrics/fit_metrics.json
hash: md5
md5: 0e03bb46cd03e9521095bf141ee92ed7
md5: 14e5b4019f6e5cf49edf7945b71e6a66
size: 220
generate_predictions:
cmd: python 3_generate_predictions.py
@ -153,13 +148,13 @@ stages:
size: 2464
- path: data/model
hash: md5
md5: 77c0900cda64c1beaef6782d04fd712e.dir
size: 518798187
nfiles: 36
md5: aee2886545c62efbf26d49f32bd1f328.dir
size: 79940408
nfiles: 35
- path: data/prepared_data
hash: md5
md5: 19abfc15e24cd8a869a0f3f087e09584.dir
size: 13396685
md5: c45c73e2e25a5c9697a788cfa04f232d.dir
size: 11682246
nfiles: 2
params:
configs/settings.yaml:
@ -171,8 +166,8 @@ stages:
outs:
- path: data/predictions/
hash: md5
md5: efc7b9dd9d40e42ad93e3e5acbeac92d.dir
size: 192502
md5: efe40990a6092494363daa3284a22878.dir
size: 192442
nfiles: 1
generate_metrics:
cmd: python 4_generate_metrics.py
@ -183,13 +178,13 @@ stages:
size: 3484
- path: data/predictions
hash: md5
md5: efc7b9dd9d40e42ad93e3e5acbeac92d.dir
size: 192502
md5: efe40990a6092494363daa3284a22878.dir
size: 192442
nfiles: 1
- path: data/prepared_data
hash: md5
md5: 19abfc15e24cd8a869a0f3f087e09584.dir
size: 13396685
md5: c45c73e2e25a5c9697a788cfa04f232d.dir
size: 11682246
nfiles: 2
params:
configs/settings.yaml:
@ -199,8 +194,8 @@ stages:
outs:
- path: metrics/metrics.json
hash: md5
md5: a8b7699dd2b171da5fead1fb04d954aa
size: 220
md5: c6f913d497eb2f98e801c9e030bd96e9
size: 222
generate_scenerio_metrics:
cmd: python 5_generate_scenarios.py
deps: