62 lines
1.8 KiB
YAML
62 lines
1.8 KiB
YAML
name: Première expérience
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date: 9 juillet 2018
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priority: 1
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detail: |
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Maquette pour la création du supervisor de minigrida. Par rapport à la
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version legacy du projet LD2DAPs, le choix du protocole de test est
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générique. Il faut ajouter le chargement dynamique du protocole puis
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réusiner le fonctionnement du supervisor pour respecter l'esprit universel
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de minigrida.
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protocol: JurseSF
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expe:
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ground_truth:
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raster: ./Data/ground_truth/2018_IEEE_GRSS_DFC_GT_TR.tif
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meta_labels: GT/jurse_idx.csv
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descriptors_script:
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name: Descriptors.dfc_aps
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parameters:
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areas:
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- 100
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- 1000
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moi:
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- 0.5
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- 0.9
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rasters:
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- ./Data/phase1_rasters/DEM+B_C123/UH17_GEM051_TR.tif
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- ./Data/phase1_rasters/DEM_C123_3msr/UH17_GEG051_TR.tif
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treshold: 1e4
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cross_validation:
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name: CrossValidationGenerator.APsCVG
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parameters:
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n_test: 2
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classifier:
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name: sklearn.ensemble.RandomForestClassifier
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parameters:
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min_samples_leaf: 10
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n_estimators: 50
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n_jobs: -1
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random_state: 0
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expe_hashes:
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ground_truth: 2c5ecaddcb8c4a1c8863bc65e7440de4a1b4962c
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descriptors_script: cfdcc84d9d9c47177930257f286d850db446812b
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cross_validation: 4a61b34fda812fe717890b25d75430023335a7a6
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classifier: 40e6741ef8cc4b4fbe188b8ca0563eb5195b88ad
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global: b8219fab322bf11ec1aac14a1f51466dd94ddbdd
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expe_report:
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supervisor: thecomedian
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start_date: Le 27/07/2018 à 16:28:52
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end_date: Le 27/07/2018 à 16:29:54
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ressources:
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ram: 42 Go
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process_time:
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description: 0.6744262149950373
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classification: 168.82905034400028
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metrics: 1.1557443889978458
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expe_results:
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classification: test_b8219f.tif
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dimensions: 42
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scores:
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overall_accuracy: 0.5550408093111998
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cohen_kappa: 0.41714275852261407
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