63 lines
1.4 KiB
TOML
63 lines
1.4 KiB
TOML
# lang_main: Config file
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[paths]
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inputs = './lang-data/in'
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# results = './results/dummy_N_1000/'
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# dataset = '../data/Dummy_Dataset_N_1000.csv'
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results = './lang-data/out'
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models = './lang-models/converted'
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[logging]
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enabled = true
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stderr = true
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file = true
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# control which pipelines are executed
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[control]
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preprocessing_skip = false
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token_analysis_skip = false
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graph_postprocessing_skip = false
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graph_rescaling_skip = false
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graph_static_rendering_skip = false
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time_analysis_skip = true
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[preprocess]
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date_cols = [
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"VorgangsDatum",
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"ErledigungsDatum",
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"Arbeitsbeginn",
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"ErstellungsDatum",
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]
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threshold_amount_characters = 5
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threshold_similarity = 0.8
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[graph_postprocessing]
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threshold_edge_number = 500
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# threshold_edge_weight = 150
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[time_analysis.uniqueness]
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threshold_unique_texts = 4
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criterion_feature = 'HObjektText'
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feature_name_obj_id = 'ObjektID'
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feature_name_obj_text = 'HObjektText'
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[time_analysis.preparation]
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name_delta_feat_to_repair = 'Zeitspanne bis zur Behebung [Tage]'
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name_delta_feat_to_next_failure = 'Zeitspanne bis zum nächsten Ereignis [Tage]'
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[time_analysis.model_input]
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# input_features = [
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# 'VorgangsTypName',
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# 'VorgangsArtText',
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# 'VorgangsBeschreibung',
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# ]
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input_features = [
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'VorgangsBeschreibung',
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]
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activity_feature = 'VorgangsTypName'
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activity_types = [
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'Reparaturauftrag (Portal)',
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'Störungsmeldung',
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]
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threshold_num_acitivities = 1
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threshold_similarity = 0.8 |