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https://github.com/Hestia-Homes/ML.git
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Merge pull request #150 from Hestia-Homes/sap-dev-floorthermal
Sap dev floorthermal
This commit is contained in:
commit
c76913e31b
3 changed files with 39 additions and 32 deletions
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@ -5,6 +5,8 @@ default:
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scenario_data_filepaths:
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scenario_data_filepaths:
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# - s3://retrofit-data-dev/scenario_data/28-05-2024-19-22-41/recommendations_scoring_data.parquet
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# - s3://retrofit-data-dev/scenario_data/28-05-2024-19-22-41/recommendations_scoring_data.parquet
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# - s3://retrofit-data-dev/scenario_data/07-10-2024-16-26-06/recommendations_scoring_data.parquet
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# - s3://retrofit-data-dev/scenario_data/07-10-2024-16-26-06/recommendations_scoring_data.parquet
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- s3://retrofit-data-dev/scenario_data/08-10-2024-15-07-33/recommendations_scoring_data.parquet
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# - s3://retrofit-data-dev/scenario_data/08-10-2024-15-07-33/recommendations_scoring_data.parquet
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# - s3://retrofit-data-dev/scenario_data/08-10-2024-22-18-44/recommendations_scoring_data.parquet
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- s3://retrofit-data-dev/scenario_data/09-10-2024-18-21-08/recommendations_scoring_data.parquet
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comparison_output_filepath: ./metrics/scenario_table.md
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comparison_output_filepath: ./metrics/scenario_table.md
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metrics_output_filepath: ./metrics/scenario_metrics.md
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metrics_output_filepath: ./metrics/scenario_metrics.md
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@ -19,7 +19,8 @@ default:
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input_dataclient_type: aws-s3
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input_dataclient_type: aws-s3
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output_dataclient_type: local
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output_dataclient_type: local
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# data_filepath: s3://retrofit-data-dev/sap_change_model/2024-05-28-19-08-25/dataset_rooms.parquet
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# data_filepath: s3://retrofit-data-dev/sap_change_model/2024-05-28-19-08-25/dataset_rooms.parquet
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data_filepath: s3://retrofit-data-dev/sap_change_model/2024-10-03-22-57-23/dataset_rooms.parquet
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# data_filepath: s3://retrofit-data-dev/sap_change_model/2024-10-03-22-57-23/dataset_rooms.parquet
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data_filepath: s3://retrofit-data-dev/sap_change_model/2024-10-08-21-58-03/dataset_rooms.parquet
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train_proportion: 0.9
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train_proportion: 0.9
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output_train_filepath: ./data/prepared_data/train.parquet
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output_train_filepath: ./data/prepared_data/train.parquet
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output_test_filepath: ./data/prepared_data/test.parquet
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output_test_filepath: ./data/prepared_data/test.parquet
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@ -35,7 +36,9 @@ default:
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drop_columns: [
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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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"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_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: null
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# retain_features: ['uprn', 'sap_starting', 'hot_water_energy_eff_ending',
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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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# 'mainheat_energy_eff_ending', 'constituency', 'roof_energy_eff_ending',
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@ -40,13 +40,15 @@ stages:
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- heating_cost_ending
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- heating_cost_ending
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- hot_water_cost_starting
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- hot_water_cost_starting
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- hot_water_cost_ending
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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.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_amount:
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default.feature_processor.feature_processor_config.subsample_seed: 0
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default.feature_processor.feature_processor_config.subsample_seed: 0
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default.feature_processor.feature_processor_config.target: sap_ending
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default.feature_processor.feature_processor_config.target: sap_ending
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default.feature_processor.feature_processor_type: dataframe
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default.feature_processor.feature_processor_type: dataframe
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default.prepare_data.data_filepath:
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default.prepare_data.data_filepath:
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s3://retrofit-data-dev/sap_change_model/2024-10-03-22-57-23/dataset_rooms.parquet
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s3://retrofit-data-dev/sap_change_model/2024-10-08-21-58-03/dataset_rooms.parquet
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default.prepare_data.input_dataclient_type: aws-s3
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default.prepare_data.input_dataclient_type: aws-s3
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default.prepare_data.output_dataclient_type: local
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default.prepare_data.output_dataclient_type: local
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default.prepare_data.output_test_filepath: ./data/prepared_data/test.parquet
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default.prepare_data.output_test_filepath: ./data/prepared_data/test.parquet
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@ -55,8 +57,8 @@ stages:
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outs:
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outs:
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- path: data/prepared_data/
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- path: data/prepared_data/
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hash: md5
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hash: md5
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md5: 8ce9c629a531d54fa9b0bfc305391400.dir
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md5: 9159a400187e6d65687b5e411a4cb0de.dir
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size: 49665833
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size: 48034631
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nfiles: 2
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nfiles: 2
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build_model:
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build_model:
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cmd: python 2_build_model.py
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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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size: 4820
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- path: data/prepared_data
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- path: data/prepared_data
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hash: md5
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hash: md5
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md5: 8ce9c629a531d54fa9b0bfc305391400.dir
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md5: 9159a400187e6d65687b5e411a4cb0de.dir
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size: 49665833
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size: 48034631
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nfiles: 2
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nfiles: 2
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params:
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params:
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configs/build_model.yaml:
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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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outs:
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- path: data/fit_predictions/
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- path: data/fit_predictions/
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hash: md5
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hash: md5
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md5: 9dafd875d76676a06890af9be8778567.dir
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md5: 6ac50c46e6fd740ccf76da4c2bf6735d.dir
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size: 3617506
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size: 3615441
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nfiles: 1
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nfiles: 1
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- path: data/model/
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- path: data/model/
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hash: md5
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hash: md5
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md5: 36fb8323508e968a297d650954ccbc58.dir
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md5: 2212643103819177f58da1d3063c8c94.dir
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size: 800833479
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size: 761489901
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nfiles: 36
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nfiles: 35
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- path: metrics/fit_metrics.json
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- path: metrics/fit_metrics.json
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hash: md5
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hash: md5
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md5: e2bc34ae26afbb854f0b021d12b1b569
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md5: d379cf95e07eb7c8797b4b766f8292cf
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size: 223
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size: 225
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generate_predictions:
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generate_predictions:
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cmd: python 3_generate_predictions.py
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cmd: python 3_generate_predictions.py
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deps:
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deps:
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@ -121,13 +123,13 @@ stages:
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size: 2464
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size: 2464
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- path: data/model
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- path: data/model
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hash: md5
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hash: md5
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md5: 36fb8323508e968a297d650954ccbc58.dir
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md5: 2212643103819177f58da1d3063c8c94.dir
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size: 800833479
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size: 761489901
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nfiles: 36
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nfiles: 35
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- path: data/prepared_data
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- path: data/prepared_data
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hash: md5
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hash: md5
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md5: 8ce9c629a531d54fa9b0bfc305391400.dir
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md5: 9159a400187e6d65687b5e411a4cb0de.dir
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size: 49665833
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size: 48034631
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nfiles: 2
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nfiles: 2
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params:
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params:
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configs/settings.yaml:
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configs/settings.yaml:
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outs:
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outs:
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- path: data/predictions/
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- path: data/predictions/
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hash: md5
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hash: md5
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md5: 8f4de36de171006cb6d9eacff7718ba3.dir
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md5: e8bd8e8ba88a667ccea645890d348e62.dir
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size: 508400
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size: 507948
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nfiles: 1
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nfiles: 1
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generate_metrics:
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generate_metrics:
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cmd: python 4_generate_metrics.py
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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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size: 3484
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- path: data/predictions
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- path: data/predictions
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hash: md5
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hash: md5
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md5: 8f4de36de171006cb6d9eacff7718ba3.dir
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md5: e8bd8e8ba88a667ccea645890d348e62.dir
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size: 508400
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size: 507948
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nfiles: 1
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nfiles: 1
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- path: data/prepared_data
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- path: data/prepared_data
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hash: md5
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hash: md5
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md5: 8ce9c629a531d54fa9b0bfc305391400.dir
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md5: 9159a400187e6d65687b5e411a4cb0de.dir
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size: 49665833
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size: 48034631
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nfiles: 2
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nfiles: 2
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params:
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params:
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configs/settings.yaml:
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configs/settings.yaml:
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@ -167,7 +169,7 @@ stages:
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outs:
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outs:
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- path: metrics/metrics.json
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- path: metrics/metrics.json
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hash: md5
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hash: md5
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md5: 58e25eb5e1699dbb33e78af9ba4c2964
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md5: a8cf405272776730f5818d50b20c6f43
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size: 222
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size: 222
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generate_scenerio_metrics:
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generate_scenerio_metrics:
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cmd: python 5_generate_scenarios.py
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cmd: python 5_generate_scenarios.py
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@ -182,15 +184,15 @@ stages:
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input_dataclient_type: aws-s3
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input_dataclient_type: aws-s3
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output_dataclient_type: local
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output_dataclient_type: local
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scenario_data_filepaths:
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scenario_data_filepaths:
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- s3://retrofit-data-dev/scenario_data/08-10-2024-15-07-33/recommendations_scoring_data.parquet
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- s3://retrofit-data-dev/scenario_data/09-10-2024-18-21-08/recommendations_scoring_data.parquet
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comparison_output_filepath: ./metrics/scenario_table.md
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comparison_output_filepath: ./metrics/scenario_table.md
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metrics_output_filepath: ./metrics/scenario_metrics.md
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metrics_output_filepath: ./metrics/scenario_metrics.md
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outs:
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outs:
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- path: metrics/scenario_metrics.md
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- path: metrics/scenario_metrics.md
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hash: md5
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hash: md5
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md5: 746ffa7d10fcdceaf2330d07c7ee623b
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md5: a5d9c42d38ef50e4fdf99a3e6043af2a
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size: 363
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size: 356
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- path: metrics/scenario_table.md
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- path: metrics/scenario_table.md
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hash: md5
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hash: md5
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md5: 3b7dfc36054bce065f849423abf31a5d
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md5: 3e48c953451af8852572299b66988910
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size: 969
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size: 872
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