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2 changed files with 36 additions and 60 deletions
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@ -24,7 +24,7 @@ default:
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# data_filepath: s3://retrofit-data-dev/sap_change_model/dataset_test.parquet
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data_filepath: s3://retrofit-data-dev/sap_change_model/dataset.parquet
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# data_filepath: s3://retrofit-datalake-dev/dataset_with0perm_all.parquet
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train_proportion: 0.95
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train_proportion: 0.98
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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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@ -41,29 +41,24 @@ default:
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'walls_energy_eff_ending', 'secondheat_description_ending',
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'property_type', 'mainheatc_energy_eff_ending', 'built_form',
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'walls_insulation_thickness_ending', 'potential_energy_efficiency',
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'transaction_type_ending', 'mainheat_energy_eff_starting',
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'floor_thermal_transmittance_ending', 'hot_water_energy_eff_starting',
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'transaction_type_ending',
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'floor_thermal_transmittance_ending',
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'low_energy_lighting_ending', 'heat_demand_starting',
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'photo_supply_ending', 'carbon_starting',
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'walls_thermal_transmittance_ending', 'fuel_type_ending',
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'roof_insulation_thickness_ending', 'transaction_type_starting',
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'walls_thermal_transmittance_ending',
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'roof_insulation_thickness_ending',
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'total_floor_area_ending', 'number_open_fireplaces_ending',
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'roof_insulation_thickness', 'windows_energy_eff_ending',
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'walls_insulation_thickness', 'floor_height_ending',
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'secondheat_description_starting', 'floor_thermal_transmittance',
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'mainheatc_energy_eff_starting', 'extension_count_ending',
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'has_air_source_heat_pump_ending', 'walls_energy_eff_starting',
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'windows_energy_eff_ending',
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'floor_height_ending',
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'extension_count_ending',
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'has_air_source_heat_pump_ending',
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'charging_system_ending', 'construction_age_band', 'glazed_type_ending',
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'roof_thermal_transmittance_ending',
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'floor_insulation_thickness_ending', 'has_mains_gas_ending',
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'estimated_perimeter_starting', 'energy_consumption_potential',
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'environment_impact_potential', 'roof_energy_eff_starting',
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'another_property_below', 'heater_type_ending',
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'walls_thermal_transmittance', 'total_floor_area_starting',
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'multi_glaze_proportion_ending', 'is_suspended',
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'floor_height_starting', 'lighting_energy_eff_ending',
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'energy_tariff_ending', 'fixed_lighting_outlets_count',
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'low_energy_lighting_starting', 'mechanical_ventilation_ending']
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'environment_impact_potential', 'heater_type_ending',
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'multi_glaze_proportion_ending',
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'lighting_energy_eff_ending', 'fixed_lighting_outlets_count']
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# retain_features: null
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generate_predictions:
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@ -32,29 +32,19 @@ stages:
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- walls_insulation_thickness_ending
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- potential_energy_efficiency
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- transaction_type_ending
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- mainheat_energy_eff_starting
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- floor_thermal_transmittance_ending
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- hot_water_energy_eff_starting
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- low_energy_lighting_ending
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- heat_demand_starting
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- photo_supply_ending
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- carbon_starting
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- walls_thermal_transmittance_ending
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- fuel_type_ending
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- roof_insulation_thickness_ending
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- transaction_type_starting
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- total_floor_area_ending
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- number_open_fireplaces_ending
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- roof_insulation_thickness
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- windows_energy_eff_ending
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- walls_insulation_thickness
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- floor_height_ending
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- secondheat_description_starting
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- floor_thermal_transmittance
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- mainheatc_energy_eff_starting
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- extension_count_ending
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- has_air_source_heat_pump_ending
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- walls_energy_eff_starting
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- charging_system_ending
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- construction_age_band
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- glazed_type_ending
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@ -64,19 +54,10 @@ stages:
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- estimated_perimeter_starting
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- energy_consumption_potential
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- environment_impact_potential
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- roof_energy_eff_starting
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- another_property_below
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- heater_type_ending
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- walls_thermal_transmittance
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- total_floor_area_starting
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- multi_glaze_proportion_ending
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- is_suspended
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- floor_height_starting
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- lighting_energy_eff_ending
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- energy_tariff_ending
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- fixed_lighting_outlets_count
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- low_energy_lighting_starting
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- mechanical_ventilation_ending
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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.target: sap_ending
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@ -86,12 +67,12 @@ stages:
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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_train_filepath: ./data/prepared_data/train.parquet
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default.prepare_data.train_proportion: 0.95
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default.prepare_data.train_proportion: 0.98
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outs:
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- path: data/prepared_data/
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hash: md5
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md5: 59f8ea78ec225f5a05de451c6145e2d5.dir
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size: 34059502
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md5: 544427230544c2cc526334e246db4845.dir
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size: 26132493
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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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@ -102,8 +83,8 @@ 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: 59f8ea78ec225f5a05de451c6145e2d5.dir
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size: 34059502
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md5: 544427230544c2cc526334e246db4845.dir
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size: 26132493
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nfiles: 2
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params:
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configs/build_model.yaml:
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@ -134,18 +115,18 @@ 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: bb74626ff3d33581efe750955cdff860.dir
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size: 3539589
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md5: 8f9e2059782dd55d3ecdad54b4551f6a.dir
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size: 3630849
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nfiles: 1
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- path: data/model/
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hash: md5
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md5: e100d4dcccc1c7d30367b0ca0672e3af.dir
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size: 654714285
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md5: e031eb3c3fdb63917aabfea745b56ac6.dir
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size: 618445494
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nfiles: 31
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- path: metrics/fit_metrics.json
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hash: md5
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md5: d074f5aa588d3405be65a9684f192465
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size: 226
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md5: e68009f5b66230b3ee4cd2ffc9a2d697
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size: 222
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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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@ -155,13 +136,13 @@ 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: e100d4dcccc1c7d30367b0ca0672e3af.dir
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size: 654714285
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md5: e031eb3c3fdb63917aabfea745b56ac6.dir
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size: 618445494
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nfiles: 31
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- path: data/prepared_data
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hash: md5
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md5: 59f8ea78ec225f5a05de451c6145e2d5.dir
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size: 34059502
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md5: 544427230544c2cc526334e246db4845.dir
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size: 26132493
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nfiles: 2
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params:
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configs/settings.yaml:
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@ -173,8 +154,8 @@ stages:
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outs:
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- path: data/predictions/
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hash: md5
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md5: 36e26c509176caae6290f75ad486810d.dir
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size: 232044
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md5: 1c14c9ac9711f5d33a60890e3ca72454.dir
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size: 90361
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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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@ -185,13 +166,13 @@ 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: 36e26c509176caae6290f75ad486810d.dir
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size: 232044
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md5: 1c14c9ac9711f5d33a60890e3ca72454.dir
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size: 90361
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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: 59f8ea78ec225f5a05de451c6145e2d5.dir
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size: 34059502
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md5: 544427230544c2cc526334e246db4845.dir
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size: 26132493
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nfiles: 2
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params:
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configs/settings.yaml:
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@ -201,8 +182,8 @@ 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: 7b71931c5857358ca2603889de6abb3a
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size: 223
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md5: 98e59ea9569522a8665c4e6c1bea7473
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size: 222
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startup_cleanup:
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cmd: python 0_startup_cleanup.py
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deps:
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@ -232,5 +213,5 @@ stages:
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outs:
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- path: metrics/scenario_table.md
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hash: md5
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md5: 72db7530c9ca42470ee8bd1a1e7b52b4
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md5: 3ee1966a06c1e5b9c37797597be94797
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size: 1648
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