   defer _go
 
   key: _model.key
-  algo: _model.algo
+  algo: _model.algo_full_name
   plots: _plots
   inputParameters: _inputParameters
   isExpanded: _isExpanded

          )

    when 'deeplearning'
      if table = _.inspect 'Status of Neuron Layers', _model
        renderPlot 'Status of Neuron Layers', _.plot (g) ->
          g(
            g.select()
            g.from table
          )

      if table = _.inspect 'Training Metrics', _model
        renderPlot 'Training Metrics', _.plot (g) ->
          g(
            g.select()
            g.from table
          )

      if table = _.inspect 'Training Confusion Matrix', _model
        renderPlot 'Training Confusion Matrix', _.plot (g) ->
          g(
            g.select()
            g.from table
          )

      if table = _.inspect 'Validation Metrics', _model
        renderPlot 'Validation Metrics', _.plot (g) ->
          g(
            g.select()
            g.from table
          )

      if table = _.inspect 'Validation Confusion Matrix', _model
        renderPlot 'Validation Confusion Matrix', _.plot (g) ->
          g(
            g.select()
            g.from table
          )

      if table = _.inspect 'Variable Importances', _model
        renderPlot 'Variable Importances', _.plot (g) ->
          g(

            )
            g.from table
            g.limit 25
          )

  for tableName in _.ls _model when tableName isnt 'parameters'
    if table = _.inspect tableName, _model
      if table.indices.length > 1
        renderPlot tableName, _.plot (g) ->
          g(
            g.select()
            g.from table
          )
      else
        renderPlot tableName, _.plot (g) ->
          g(
            g.select 0
            g.from table
          )

  toggle = ->
