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[
  {
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    "pk": 24, 
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    "model": "workflows.category", 
    "fields": {
      "uid": "ed859be5-cc13-46b9-b249-c8f026732c1c", 
      "parent": null, 
      "workflow": null, 
      "user": null, 
      "order": 1, 
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      "name": "ILP"
    }
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  }, 
  {
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    "pk": 134, 
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    "model": "workflows.abstractwidget", 
    "fields": {
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      "category": 24, 
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      "treeview_image": "", 
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      "windows_queue": false, 
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      "name": "Aleph", 
      "is_streaming": false, 
      "uid": "b8289304-389e-414a-98ab-273b16478cee", 
      "interaction_view": "", 
      "image": "", 
      "package": "ilp", 
      "static_image": "ilp.png", 
      "post_interact_action": "", 
      "user": null, 
      "visualization_view": "", 
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      "streaming_visualization_view": "", 
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      "action": "ilp_aleph", 
      "wsdl_method": "", 
      "wsdl": "", 
      "interactive": false, 
      "has_progress_bar": false, 
      "order": 1, 
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      "description": "A widget which implements Aleph, an Inductive Logic Programming (ILP) system.\nhttp://www.cs.ox.ac.uk/activities/machlearn/Aleph/aleph.html"
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    }
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  }, 
  {
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    "pk": 267, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 134, 
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      "name": "mode", 
      "short_name": "mod", 
      "uid": "00b174f3-250d-4c47-9a60-b515e5260e0c", 
      "default": "induce", 
      "required": true, 
      "multi": false, 
      "parameter_type": "select", 
      "variable": "mode", 
      "parameter": true, 
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      "order": 1, 
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      "description": "induction mode"
    }
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  }, 
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  {
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    "pk": 70, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "8e5631e5-6497-4720-9e26-5936619caf5c", 
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      "abstract_input": 267, 
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      "value": "induce", 
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      "name": "induce"
    }
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  }, 
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  {
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    "pk": 71, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "92f66b17-02fd-4bb6-b4cb-03bb54b403f6", 
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      "abstract_input": 267, 
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      "value": "induce_constraints", 
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      "name": "induce_constraints"
    }
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  }, 
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  {
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    "pk": 72, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "ce82b005-81e4-4997-80c3-05731651869a", 
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      "abstract_input": 267, 
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      "value": "induce_cover", 
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      "name": "induce_cover"
    }
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  }, 
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  {
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    "pk": 73, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "968d079a-871c-4cae-b15e-c8e7b61f3b8c", 
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      "abstract_input": 267, 
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      "value": "induce_features", 
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      "name": "induce_features"
    }
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  }, 
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  {
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    "pk": 74, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "0103c466-0e2e-47fe-b182-0a034beb7eed", 
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      "abstract_input": 267, 
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      "value": "induce_max", 
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      "name": "induce_max"
    }
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  }, 
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  {
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    "pk": 75, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "78cb938d-16b8-4c7c-b712-b59e27aa837d", 
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      "abstract_input": 267, 
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      "value": "induce_modes", 
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      "name": "induce_modes"
    }
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  }, 
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  {
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    "pk": 76, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "45f5cc84-b097-439a-9363-d2299c540913", 
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      "abstract_input": 267, 
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      "value": "induce_tree", 
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      "name": "induce_tree"
    }
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  }, 
  {
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    "pk": 268, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 134, 
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      "name": "pos", 
      "short_name": "pos", 
      "uid": "03788382-f3b9-4580-8e85-b600874ef643", 
      "default": "", 
      "required": true, 
      "multi": false, 
      "parameter_type": null, 
      "variable": "pos", 
      "parameter": false, 
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      "order": 2, 
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      "description": "positive examples"
    }
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  }, 
  {
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    "pk": 269, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 134, 
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      "name": "neg", 
      "short_name": "neg", 
      "uid": "01529349-3300-41c5-8585-3f7a90175120", 
      "default": "", 
      "required": true, 
      "multi": false, 
      "parameter_type": null, 
      "variable": "neg", 
      "parameter": false, 
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      "order": 3, 
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      "description": "negative examples"
    }
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  }, 
  {
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    "pk": 270, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 134, 
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      "name": "b", 
      "short_name": "b", 
      "uid": "2ec81e9e-d911-46a1-a95d-2eaf349443a8", 
      "default": "", 
      "required": true, 
      "multi": false, 
      "parameter_type": null, 
      "variable": "b", 
      "parameter": false, 
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      "order": 4, 
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      "description": "background knowledge"
    }
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  }, 
  {
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    "pk": 271, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 134, 
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      "name": "settings", 
      "short_name": "set", 
      "uid": "bfe16b08-89b1-4835-875c-6b0302fb1da3", 
      "default": "", 
      "required": false, 
      "multi": false, 
      "parameter_type": null, 
      "variable": "settings", 
      "parameter": false, 
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      "order": 5, 
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      "description": "settings facts"
    }
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  }, 
  {
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    "pk": 272, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 134, 
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      "name": "minpos", 
      "short_name": "mps", 
      "uid": "cdeaa39a-7eeb-40eb-9443-8519cb841d2e", 
      "default": "1", 
      "required": false, 
      "multi": false, 
      "parameter_type": "text", 
      "variable": "minpos", 
      "parameter": true, 
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      "order": 6, 
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      "description": "Set a lower bound on the number of positive examples to be covered by an acceptable clause. If the best clause covers positive examples below this number, then it is not added to the current theory. This can be used to prevent Aleph from adding ground unit clauses to the theory (by setting the value to 2)."
    }
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  }, 
  {
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    "pk": 273, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 134, 
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      "name": "noise", 
      "short_name": "noi", 
      "uid": "61292a9b-ff5b-4a7e-8baf-e6810cb50dcd", 
      "default": "0", 
      "required": false, 
      "multi": false, 
      "parameter_type": "text", 
      "variable": "noise", 
      "parameter": true, 
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      "order": 7, 
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      "description": "Set an upper bound on the number of negative examples allowed to be covered by an acceptable clause."
    }
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  }, 
  {
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    "pk": 274, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 134, 
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      "name": "clauselength", 
      "short_name": "cln", 
      "uid": "546d3a62-b499-4e61-a9b1-4f89f24ba01f", 
      "default": "4", 
      "required": false, 
      "multi": false, 
      "parameter_type": "text", 
      "variable": "clauselength", 
      "parameter": true, 
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      "order": 8, 
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      "description": " Sets upper bound on number of literals in an acceptable clause."
    }
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  }, 
  {
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    "pk": 275, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 134, 
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      "name": "depth", 
      "short_name": "dpt", 
      "uid": "3541b804-e8f3-42c5-b022-c0b7a51f05e1", 
      "default": "10", 
      "required": false, 
      "multi": false, 
      "parameter_type": "text", 
      "variable": "depth", 
      "parameter": true, 
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      "order": 9, 
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      "description": "Sets an upper bound on the proof depth to which theorem-proving proceeds."
    }
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  }, 
  {
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    "pk": 276, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 134, 
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      "name": "evalfn", 
      "short_name": "efn", 
      "uid": "27ed0924-8fa9-4cad-b033-c0a98db9f366", 
      "default": "coverage", 
      "required": false, 
      "multi": false, 
      "parameter_type": "select", 
      "variable": "evalfn", 
      "parameter": true, 
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      "order": 10, 
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      "description": "Sets the evaluation function for a search."
    }
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  }, 
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  {
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    "pk": 77, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "abd779d2-8276-4b2d-909d-2b6053d1f30f", 
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      "abstract_input": 276, 
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      "value": "accuracy", 
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      "name": "accuracy"
    }
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  }, 
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  {
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    "pk": 78, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "2ec2f418-657b-44f7-a420-83cb4f4baed5", 
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      "abstract_input": 276, 
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      "value": "auto_m", 
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      "name": "auto_m"
    }
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  }, 
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  {
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    "pk": 79, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "66261b29-3313-4f85-b8ab-f277e49eb40b", 
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      "abstract_input": 276, 
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      "value": "compression", 
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      "name": "compression"
    }
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  }, 
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  {
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    "pk": 80, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "427cd0aa-6d3c-457e-8762-cdc7ec6b8512", 
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      "abstract_input": 276, 
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      "value": "coverage", 
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      "name": "coverage"
    }
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  }, 
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  {
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    "pk": 81, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "bdf9d407-95af-4b42-b923-a027c45b0f26", 
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      "abstract_input": 276, 
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      "value": "entropy", 
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      "name": "entropy"
    }
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  }, 
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  {
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    "pk": 82, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "ddc2bde8-7143-4e8f-9e6b-cdcaea871e27", 
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      "abstract_input": 276, 
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      "value": "gini", 
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      "name": "gini"
    }
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  }, 
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    "pk": 83, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "0c4fd002-57a6-40b5-ac0f-e98cc62aa957", 
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      "abstract_input": 276, 
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      "value": "laplace", 
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      "name": "laplace"
    }
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  }, 
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    "pk": 84, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "2d764051-9dca-42f2-b131-2a87576c21d7", 
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      "abstract_input": 276, 
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      "value": "mestimate", 
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      "name": "mestimate"
    }
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  }, 
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  {
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    "pk": 85, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "0684bf39-09a5-4499-8939-51a58fcc2446", 
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      "abstract_input": 276, 
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      "value": "pbayes", 
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      "name": "pbayes"
    }
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  }, 
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  {
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    "pk": 86, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "ecfbee4f-ce81-40ed-80a2-d53e04e9c7d3", 
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      "abstract_input": 276, 
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      "value": "posonly", 
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      "name": "posonly"
    }
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  }, 
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  {
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    "pk": 87, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "775058c3-7763-4af7-bcf4-b629d1c0e6f1", 
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      "abstract_input": 276, 
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      "value": "sd", 
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      "name": "sd"
    }
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  }, 
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    "pk": 88, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "14e08667-f530-43e6-b932-b8e2ac394ea4", 
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      "abstract_input": 276, 
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      "value": "wracc", 
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      "name": "wracc"
    }
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  }, 
  {
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    "pk": 277, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 134, 
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      "name": "i", 
      "short_name": "i", 
      "uid": "48905a20-0192-40c0-82de-2389e8fdc88e", 
      "default": "2", 
      "required": false, 
      "multi": false, 
      "parameter_type": "text", 
      "variable": "i", 
      "parameter": true, 
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      "order": 11, 
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      "description": "Set upper bound on layers of new variables."
    }
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  }, 
  {
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    "pk": 278, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 134, 
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      "name": "language", 
      "short_name": "lan", 
      "uid": "9de49bde-7518-4116-8606-eccc134d1d8f", 
      "default": "inf", 
      "required": false, 
      "multi": false, 
      "parameter_type": "text", 
      "variable": "language", 
      "parameter": true, 
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      "order": 12, 
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      "description": "Specifies the number of occurences of a predicate symbol in any clause (inf or > 0)."
    }
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  }, 
  {
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    "pk": 279, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 134, 
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      "name": "m", 
      "short_name": "m", 
      "uid": "b07b2b85-bc8f-4dfc-aaf8-800b94077312", 
      "default": "1", 
      "required": false, 
      "multi": false, 
      "parameter_type": "text", 
      "variable": "m", 
      "parameter": true, 
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      "order": 13, 
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      "description": "Sets a value for \"m-estimate\" calculations."
    }
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  }, 
  {
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    "pk": 280, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 134, 
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      "name": "max_features", 
      "short_name": "mxf", 
      "uid": "4a275a37-e6bc-4b22-816d-b45e2ac791e2", 
      "default": "inf", 
      "required": false, 
      "multi": false, 
      "parameter_type": "text", 
      "variable": "max_features", 
      "parameter": true, 
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      "order": 14, 
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      "description": "Sets an upper bound on the maximum number of boolean features constructed by searching for good clauses (inf or > 0)."
    }
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  }, 
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  {
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    "pk": 147, 
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    "model": "workflows.abstractoutput", 
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    "fields": {
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      "widget": 134, 
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      "name": "theory", 
      "short_name": "the", 
      "variable": "theory", 
      "uid": "d1d8839b-a2f1-4b82-b759-7c6c7d7d57e5", 
      "order": 1, 
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      "description": "theory"
    }
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  }, 
  {
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    "pk": 135, 
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    "model": "workflows.abstractwidget", 
    "fields": {
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      "category": 24, 
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      "treeview_image": "", 
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      "windows_queue": false, 
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      "name": "RSD", 
      "is_streaming": false, 
      "uid": "dabcb4ed-ae86-4f3e-8d3e-bb0306ff11f8", 
      "interaction_view": "", 
      "image": "", 
      "package": "ilp", 
      "static_image": "ilp.png", 
      "post_interact_action": "", 
      "user": null, 
      "visualization_view": "", 
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      "streaming_visualization_view": "", 
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      "action": "ilp_rsd", 
      "wsdl_method": "", 
      "wsdl": "", 
      "interactive": false, 
      "has_progress_bar": false, 
      "order": 1, 
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      "description": "Relational subgroup discovery by Zelezny et al."
    }
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  }, 
  {
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    "pk": 281, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 135, 
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      "name": "examples", 
      "short_name": "ex", 
      "uid": "817a82dc-2264-4181-a31a-6a7ff2b6c882", 
      "default": "", 
      "required": false, 
      "multi": false, 
      "parameter_type": null, 
      "variable": "examples", 
      "parameter": false, 
      "order": 1, 
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      "description": "classified examples (pos+neg in one file)"
    }
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  }, 
  {
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    "pk": 282, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 135, 
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      "name": "b", 
      "short_name": "b", 
      "uid": "746dac3a-bcf9-4546-b0cb-ccfea866707a", 
      "default": "", 
      "required": true, 
      "multi": false, 
      "parameter_type": null, 
      "variable": "b", 
      "parameter": false, 
      "order": 2, 
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      "description": "background knowledge"
    }
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  }, 
  {
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    "pk": 283, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 135, 
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      "name": "clauselength", 
      "short_name": "cln", 
      "uid": "d840e1d9-5bd1-4004-94ec-6acd5b3c9910", 
      "default": "8", 
      "required": false, 
      "multi": false, 
      "parameter_type": "text", 
      "variable": "clauselength", 
      "parameter": true, 
      "order": 2, 
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      "description": "An integer specifying the maximum length of a feature\r\nbody."
    }
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  }, 
  {
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    "pk": 284, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "name": "pos", 
      "short_name": "pos", 
      "uid": "676ef826-7dd9-415a-8a8a-d82146dcc95a", 
      "default": "", 
      "required": false, 
      "multi": false, 
      "parameter_type": null, 
      "variable": "pos", 
      "parameter": false, 
      "order": 3, 
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      "description": "positive examples"
    }
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  }, 
  {
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    "pk": 285, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 135, 
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      "name": "depth", 
      "short_name": "dpt", 
      "uid": "bed46927-aa71-46a4-9022-8219cd2f59ca", 
      "default": "4", 
      "required": false, 
      "multi": false, 
      "parameter_type": "text", 
      "variable": "depth", 
      "parameter": true, 
      "order": 3, 
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      "description": "An integer specifying the maximum depth of variables\r\nfound in a feature body."
    }
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  }, 
  {
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    "pk": 286, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 135, 
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      "name": "neg", 
      "short_name": "neg", 
      "uid": "0b46921d-50fe-46b1-a1e4-67c918160a7f", 
      "default": "", 
      "required": false, 
      "multi": false, 
      "parameter_type": null, 
      "variable": "neg", 
      "parameter": false, 
      "order": 4, 
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      "description": "negative examples"
    }
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  }, 
  {
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    "pk": 287, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 135, 
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      "name": "negation", 
      "short_name": "neg", 
      "uid": "bfff50a5-ed9b-4e3f-bfb0-e6d135a60f38", 
      "default": "none", 
      "required": false, 
      "multi": false, 
      "parameter_type": "select", 
      "variable": "negation", 
      "parameter": true, 
      "order": 4, 
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      "description": "One of now, later, none.\r\nnow: To features generated by featurize.pl, process.pl\r\nwill also add their versions where the complete body is\r\nnegated. (Negations of individual literals can be done by\r\nsuitably defining background knowledge predicates.)\r\nlater: tells the program that an inducer capable of\r\nnegating features will be applied on the propositionalized\r\nrepresentation. This influences functions described below."
    }
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  }, 
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  {
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    "pk": 89, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "45656c1d-a666-4689-a37d-79a7d3b9c603", 
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      "abstract_input": 287, 
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      "value": "later", 
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      "name": "later"
    }
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  }, 
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  {
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    "pk": 90, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "230d9101-6512-4f09-8a83-727be3fa4c74", 
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      "abstract_input": 287, 
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      "value": "none", 
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      "name": "none"
    }
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  }, 
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  {
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    "pk": 91, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "79eec714-165c-4d67-9eb5-8f0ebe9a374f", 
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      "abstract_input": 287, 
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      "value": "now", 
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      "name": "now"
    }
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  }, 
  {
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    "pk": 288, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 135, 
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      "name": "settings", 
      "short_name": "set", 
      "uid": "a1660c9f-952d-4f29-9f23-9b0be5fe8cea", 
      "default": "", 
      "required": false, 
      "multi": false, 
      "parameter_type": null, 
      "variable": "settings", 
      "parameter": false, 
      "order": 5, 
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      "description": "settings"
    }
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  }, 
  {
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    "pk": 289, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 135, 
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      "name": "min_coverage", 
      "short_name": "mcv", 
      "uid": "0864df0d-3e46-4af2-9ea3-2ccbfe33034a", 
      "default": "1", 
      "required": false, 
      "multi": false, 
      "parameter_type": "text", 
      "variable": "min_coverage", 
      "parameter": true, 
      "order": 5, 
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      "description": "An integer mc. All features (including negated versions)\r\ncovering fewer than mc instances will be discarded.\r\nHowever, if negation is later (see above), a feature\r\nis discarded only if both (a) coverage thereof and (b) the\r\ncoverage of its negated version are smaller than mc."
    }
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  }, 
  {
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    "pk": 290, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 135, 
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      "name": "filtering", 
      "short_name": "flt", 
      "uid": "f510c2a1-454f-4ef8-b346-aba39a41ce24", 
      "default": "true", 
      "required": false, 
      "multi": false, 
      "parameter_type": "select", 
      "variable": "flt", 
      "parameter": true, 
      "order": 6, 
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      "description": "One of true, false. If true, each feature will be discarded\r\nif (a) it covers the same set of instances as some previously\r\nconstructed feature, or (b) it covers all instances."
    }
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  }, 
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  {
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    "pk": 92, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "56d3293d-9d78-437e-821d-e478018e1988", 
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      "abstract_input": 290, 
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      "value": "false", 
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      "name": "false"
    }
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  }, 
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  {
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    "pk": 93, 
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    "model": "workflows.abstractoption", 
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    "fields": {
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      "uid": "1b3a141e-2da8-4e58-9e2d-4055ee8e8470", 
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      "abstract_input": 290, 
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      "value": "true", 
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      "name": "true"
    }
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  }, 
  {
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    "pk": 291, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 135, 
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      "name": "subgroups", 
      "short_name": "sg", 
      "uid": "1c982c21-0b97-40d1-a35e-30ba16342b00", 
      "default": "", 
      "required": true, 
      "multi": false, 
      "parameter_type": "checkbox", 
      "variable": "subgroups", 
      "parameter": true, 
      "order": 11, 
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      "description": "find subgroups as well"
    }
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  }, 
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  {
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    "pk": 148, 
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    "model": "workflows.abstractoutput", 
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    "fields": {
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      "widget": 135, 
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      "name": "features", 
      "short_name": "frs", 
      "variable": "features", 
      "uid": "1097065e-83f9-4dfa-89b8-775d500caa89", 
      "order": 1, 
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      "description": "features as prolog facts"
    }
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  }, 
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  {
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    "pk": 149, 
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    "model": "workflows.abstractoutput", 
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    "fields": {
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      "widget": 135, 
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      "name": "arff", 
      "short_name": "arf", 
      "variable": "arff", 
      "uid": "20b53049-5a43-46f8-9d1d-b49d8db2b1bc", 
      "order": 2, 
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      "description": "arff file of the propositionalized data"
    }
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  }, 
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  {
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    "pk": 150, 
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    "model": "workflows.abstractoutput", 
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    "fields": {
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      "widget": 135, 
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      "name": "rules", 
      "short_name": "rul", 
      "variable": "rules", 
      "uid": "3f70b720-fd68-4770-936b-68512046a12e", 
      "order": 3, 
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      "description": "rules as prolog facts"
    }
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  }, 
  {
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    "pk": 136, 
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    "model": "workflows.abstractwidget", 
    "fields": {
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      "category": 24, 
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      "treeview_image": "", 
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      "windows_queue": false, 
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      "name": "SDM-Aleph", 
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      "is_streaming": false, 
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      "uid": "14c7c1f8-d9ee-43da-9c7d-c979d3533fe7", 
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      "interaction_view": "", 
      "image": "", 
      "package": "ilp", 
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      "static_image": "ws.png", 
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      "post_interact_action": "", 
      "user": null, 
      "visualization_view": "", 
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      "streaming_visualization_view": "", 
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      "action": "ilp_sdmaleph", 
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      "wsdl_method": "", 
      "wsdl": "", 
      "interactive": false, 
      "has_progress_bar": false, 
      "order": 1, 
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      "description": "    SDM-Aleph web service.\r\n    \r\n    Inputs:\r\n        - examples: str, a .tab dataset or a list of pairs\r\n        - mapping : str, a mapping between examples and ontological terms,\r\n        - ontologies : a list of {'ontology' : str} dicts\r\n        - relations : a list of {'relation' : str} dicts\r\n        - posClassVal : str, if the data is class-labeled, this is the target class,\r\n        - cutoff : int, if the data is ranked, this is the cutoff value for splitting it into two classes,\r\n        - minPos : int >= 1, minimum number of true positives per rule\r\n        - noise : int > 0, false positives allowed per rule\r\n        - clauseLen : int >= 1, number of predicates per clause,\r\n        - dataFormat : str, legal values are 'tab' or 'list'\r\n    Output:\r\n        - str, the induced theory.\r\n    \r\n    @author: Anze Vavpetic, 2011 <anze.vavpetic@ijs.si>"
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    }
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  }, 
  {
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    "pk": 292, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 136, 
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      "name": "examples", 
      "short_name": "ex", 
      "uid": "b82c4d43-f585-456f-824b-6ce47e27866f", 
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      "default": "", 
      "required": true, 
      "multi": false, 
      "parameter_type": null, 
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      "variable": "examples", 
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      "parameter": false, 
      "order": 1, 
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      "description": "examples"
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    }
  }, 
  {
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    "pk": 293, 
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    "model": "workflows.abstractinput", 
    "fields": {
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      "widget": 136, 
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      "name": "mapping", 
      "short_name": "map", 
      "uid": "cd4ab84b-91c7-42ed-bbb2-66c4a2d36fe0", 
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      "default": "", 
      "required": true, 
      "multi": false, 
      "parameter_type": null, 
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      "variable": "mapping", 
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      "parameter": false, 
      "order": 2,