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model with no floor_thermal starting and ending
This commit is contained in:
parent
9f784f72f6
commit
5166493eda
2 changed files with 29 additions and 25 deletions
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@ -36,7 +36,9 @@ default:
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drop_columns: [
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"heat_demand_change", "carbon_change", "rdsap_change", "heat_demand_ending", "carbon_ending", "days_to_starting", "days_to_ending",
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'number_habitable_rooms_starting', 'number_habitable_rooms_ending', 'number_heated_rooms_starting', 'number_heated_rooms_ending',
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'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',]
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'number_habitable_rooms', 'number_heated_rooms', 'lighting_cost_starting',
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'lighting_cost_ending', 'heating_cost_starting', 'heating_cost_ending', 'hot_water_cost_starting', 'hot_water_cost_ending',
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'floor_thermal_transmittance', 'floor_thermal_transmittance_ending']
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retain_features: null
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# retain_features: ['uprn', 'sap_starting', 'hot_water_energy_eff_ending',
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# 'mainheat_energy_eff_ending', 'constituency', 'roof_energy_eff_ending',
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@ -40,6 +40,8 @@ stages:
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- heating_cost_ending
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- hot_water_cost_starting
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- hot_water_cost_ending
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- floor_thermal_transmittance
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- floor_thermal_transmittance_ending
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default.feature_processor.feature_processor_config.retain_features:
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default.feature_processor.feature_processor_config.subsample_amount:
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default.feature_processor.feature_processor_config.subsample_seed: 0
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@ -55,8 +57,8 @@ stages:
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outs:
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- path: data/prepared_data/
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hash: md5
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md5: cd82e70e3cfcd0421cddf9a2c4b3e476.dir
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size: 49655735
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md5: 9159a400187e6d65687b5e411a4cb0de.dir
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size: 48034631
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nfiles: 2
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build_model:
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cmd: python 2_build_model.py
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@ -67,8 +69,8 @@ stages:
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size: 4820
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- path: data/prepared_data
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hash: md5
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md5: cd82e70e3cfcd0421cddf9a2c4b3e476.dir
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size: 49655735
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md5: 9159a400187e6d65687b5e411a4cb0de.dir
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size: 48034631
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nfiles: 2
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params:
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configs/build_model.yaml:
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@ -100,18 +102,18 @@ stages:
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outs:
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- path: data/fit_predictions/
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hash: md5
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md5: a1c97fa17adae60ee97696c95cfebe7e.dir
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size: 3618488
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md5: 6ac50c46e6fd740ccf76da4c2bf6735d.dir
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size: 3615441
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nfiles: 1
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- path: data/model/
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hash: md5
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md5: 7e6f38163a2cfe208ace26702ae28793.dir
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size: 762167138
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md5: 2212643103819177f58da1d3063c8c94.dir
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size: 761489901
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nfiles: 35
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- path: metrics/fit_metrics.json
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hash: md5
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md5: 8a6db7d72f9b4b8a5e411beaa3a2a413
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size: 224
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md5: d379cf95e07eb7c8797b4b766f8292cf
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size: 225
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generate_predictions:
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cmd: python 3_generate_predictions.py
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deps:
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@ -121,13 +123,13 @@ stages:
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size: 2464
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- path: data/model
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hash: md5
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md5: 7e6f38163a2cfe208ace26702ae28793.dir
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size: 762167138
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md5: 2212643103819177f58da1d3063c8c94.dir
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size: 761489901
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nfiles: 35
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- path: data/prepared_data
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hash: md5
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md5: cd82e70e3cfcd0421cddf9a2c4b3e476.dir
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size: 49655735
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md5: 9159a400187e6d65687b5e411a4cb0de.dir
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size: 48034631
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nfiles: 2
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params:
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configs/settings.yaml:
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@ -139,8 +141,8 @@ stages:
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outs:
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- path: data/predictions/
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hash: md5
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md5: 14729e943275748a19e86cf47d6561ee.dir
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size: 508468
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md5: e8bd8e8ba88a667ccea645890d348e62.dir
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size: 507948
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nfiles: 1
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generate_metrics:
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cmd: python 4_generate_metrics.py
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@ -151,13 +153,13 @@ stages:
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size: 3484
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- path: data/predictions
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hash: md5
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md5: 14729e943275748a19e86cf47d6561ee.dir
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size: 508468
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md5: e8bd8e8ba88a667ccea645890d348e62.dir
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size: 507948
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nfiles: 1
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- path: data/prepared_data
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hash: md5
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md5: cd82e70e3cfcd0421cddf9a2c4b3e476.dir
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size: 49655735
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md5: 9159a400187e6d65687b5e411a4cb0de.dir
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size: 48034631
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nfiles: 2
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params:
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configs/settings.yaml:
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@ -167,8 +169,8 @@ stages:
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outs:
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- path: metrics/metrics.json
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hash: md5
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md5: e076cba5f5737fd6d95931931411fdd0
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size: 225
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md5: a8cf405272776730f5818d50b20c6f43
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size: 222
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generate_scenerio_metrics:
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cmd: python 5_generate_scenarios.py
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deps:
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@ -188,9 +190,9 @@ stages:
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outs:
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- path: metrics/scenario_metrics.md
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hash: md5
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md5: 3e1047665bc18e92bf0f4216b9cc0c88
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md5: b110d6cb700b124220bf5cbc3c69f342
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size: 356
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- path: metrics/scenario_table.md
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hash: md5
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md5: 71d4052f1ab986253bce9268644cc421
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md5: ab2b7b4b251c9c7eb72df21f4d0e02bc
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size: 872
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