{
  "projectExportManifest": {
    "exportUploads": false,
    "exportAllInputDatasets": false,
    "exportAllDatasets": false,
    "exportManagedFS": false,
    "exportAnalysisModels": false,
    "exportSavedModels": false,
    "exportModelEvaluationStores": false,
    "exportProjectResources": false,
    "exportLabelingTasks": false,
    "exportManagedFolders": false,
    "exportAllInputManagedFolders": false,
    "exportInsightsData": false,
    "includedDatasetsData": [
      {
        "name": "earnings_by_education",
        "type": "UploadedFiles"
      }
    ],
    "includedSavedModels": [
      {
        "id": "KI6bmCmP",
        "name": "Predict fraudulent (binary)"
      }
    ],
    "includedManagedFolders": [],
    "includedModelEvaluationStores": [],
    "includedCodeStudios": [],
    "includedLabelingTasks": [],
    "exportGitRepository": false
  },
  "instanceFeatures": {
    "showFlowNavLink": false,
    "showLabNavLink": false,
    "showCodeNavLink": false,
    "showSwitchToProjectViewButton": false,
    "showVersionControlFeatures": false
  },
  "useAppHomepage": true,
  "homepageSections": [
    {
      "sectionTitle": "Is that job posting real?",
      "sectionText": "Upload a batch of new job postings. Then click to have the model predict whether each job post is real or fake. When finished, export the results.",
      "tiles": [
        {
          "datasetName": "job_postings",
          "behavior": "INLINE_UPLOAD_REDETECT_AND_INFER",
          "type": "UPLOAD_DATASET_SET_FILE",
          "prompt": "Upload data to be scored"
        },
        {
          "scenarioId": "SCOREDATA",
          "type": "SCENARIO_RUN",
          "prompt": "Generate predictions"
        },
        {
          "datasetName": "test_scored",
          "exportParams": {
            "destinationType": "DOWNLOAD",
            "temporaryFileBehavior": "AUTO",
            "originatingOptionId": "tsv-excel-header",
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              "type": "csv",
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                "style": "excel",
                "charset": "utf8",
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                "parseHeaderRow": true,
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                "probableNumberOfRecords": 0,
                "normalizeBooleans": false,
                "normalizeDoubles": true,
                "readAdditionalColumnsBehavior": "INSERT_IN_DATA_WARNING",
                "readMissingColumnsBehavior": "DISCARD_SILENT",
                "readDataTypeMismatchBehavior": "DISCARD_WARNING",
                "writeDataTypeMismatchBehavior": "DISCARD_WARNING",
                "fileReadFailureBehavior": "FAIL",
                "compress": ""
              }
            },
            "destinationDatasetProjectKey": "QS_MLOPS_1",
            "destinationDatasetConnection": "filesystem_managed",
            "overwriteDestinationDataset": false,
            "applyExplorationFilters": false,
            "selection": {
              "useMemTable": false,
              "filter": {
                "distinct": false,
                "enabled": false
              },
              "partitionSelectionMethod": "ALL",
              "selectedPartitions": [],
              "latestPartitionsN": 1,
              "ordering": {
                "enabled": false,
                "rules": []
              },
              "samplingMethod": "FULL",
              "maxRecords": 100000,
              "targetRatio": 0.02,
              "withinFirstN": -1,
              "maxReadUncompressedBytes": -1
            }
          },
          "type": "DOWNLOAD_DATASET",
          "prompt": "Download predictions"
        }
      ]
    }
  ],
  "label": "Score Job Postings",
  "shortDesc": "This Dataiku application is a simple demo example associated with the quick start projects.",
  "tags": [
    "academy"
  ],
  "imgPattern": 7,
  "showInitials": false,
  "instantiationPermission": "EVERYBODY",
  "limitedVisibilityEnabled": "INHERIT",
  "accessRequestsEnabled": "INHERIT",
  "allowedMissingConnections": [],
  "allowedMissingCodeEnvs": []
}