       origin: "getModel #{stringify model.key.name}"
 
   inspectGLMCoefficientsMagnitude = (model) -> ->
-    #TODO HACK
-    model.output.coefficients_magnitude.columns[0].name = 'Column'
     convertTableToFrame model.output.coefficients_magnitude,
       description: "#{model.output.coefficients_magnitude.name} for GLM model #{model.key.name}"
       origin: "getModel #{stringify model.key.name}"
 
   inspectGLMCoefficientsTable = (model) -> ->
-    #TODO HACK
-    model.output.coefficients_table.columns[0].name = 'Column'
     convertTableToFrame model.output.coefficients_table,
       description: "#{model.output.coefficients_table.name} for GLM model #{model.key.name}"
       origin: "getModel #{stringify model.key.name}"

      createVector 'scoring_time', TNumber, [ prediction.scoring_time ]
    ]

    createDataframe 'Prediction', vectors, (sequence 1), null,
      description: "Prediction output for model '#{model.name}' on frame '#{frame.name}'"
      origin: "getPrediction #{stringify model.name}, #{stringify frame.name}"

  inspectBinomialConfusionMatrices = (opts, predictions) -> ->
    vectors = [

      description: "Prediction output for model '#{model.name}' on frame '#{frame.name}'"
      origin: "getPrediction #{stringify model.name}, #{stringify frame.name}"

  inspectBinomialPrediction2 = (frameLabel, prediction) -> ->
    origin = "getModel #{stringify prediction.model.name}"
    { frame, model } = prediction

    vectors = [
