     convertColumnToVector column, table.data[i]
   createDataframe tableName, vectors, (sequence table.rowcount), null, metadata
 
+getTwoDimData = (table, columnName) ->
+  columnIndex = findIndex table.columns, (column) -> column.name is columnName
+  if columnIndex >= 0
+    table.data[columnIndex]
+  else
+    undefined
+
 combineTables = (tables) ->
   leader = head tables
 

    predictions

  extendPrediction = (modelKey, frameKey, prediction) ->
    if prediction.__meta.schema_type is 'ModelMetricsBinomial'
      augmentConfusionMatrices prediction.max_criteria_and_metric_scores, prediction.thresholds_and_metric_scores
    inspections = {}
    inspectObject inspections, 'Prediction', "getPrediction model: #{stringify prediction.model.name}, frame: #{stringify prediction.frame.name}", prediction
    inspect_ prediction, inspections

      ]
    ]
  ]

formulateGetPredictionsOrigin = (opts) ->
  if isArray opts
