%div.well
  %a.btn.btn-warning{:href => to('/predict')}
    %span.glyphicon.glyphicon-menu-left{:aria=>{:hidden=>"true"}}
    New Prediction
  / displays all prediction result in first table
  %div.table-responsive
    %table.table.table-bordered{:id=>"batch", :style=>"background-color:white;"}
      %thead
        %tr
          %h3.col-md-4{:style=>"padding-left:0;"} Batch Prediction Results:
          %h3.col-md-8= @filename
        %tr
          %span.btn.btn-default
            %a{:href=>"#{to("/predict/#{@filename}")}", :title=>"download"}
              %span.glyphicon.glyphicon-download-alt{:aria=>{:hidden=>"true"}}
                CSV
      %tbody
      / key = compound, values = array of arrays with model, prediction
      - @batch.each do |key, values|
        - compound = key
        - mw = compound.molecular_weight
        %tr
          %td{:style=>"vertical-align:top;"}
            %p= compound.svg
            %p= compound.smiles
          / array = single prediction [endpoint, result]
          - values.each_with_index do |array,i|
            %td{:style=>"vertical-align:top;white-space:nowrap;"}
              - model = array[0]
              - prediction = array[1]
              %b{:class => "title"}
                = "#{model.endpoint.gsub('_', ' ')} (#{model.species})"
              %p
              - if prediction[:confidence] == "measured"
                %p
                  %b Measured activity:
                - if prediction[:value].is_a?(Array)
                  = prediction[:value][0].numeric? ? prediction[:value].collect{|v| weight = compound.mmol_to_mg(v, mw); '%.2e' % v + " (#{model.unit})"+" | #{'%.2e' % weight} (mg/kg_bw/day)"}.join("</br>") : prediction[:value].join(", ")
                - else
                  = prediction[:value].numeric? ? "#{'%.2e' % prediction[:value]} (#{model.unit}) | #{'%.2e' % compound.mmol_to_mg(prediction[:value], mw)} (mg/kg_bw/day)" : prediction[:value]
                %p 
                %b Compound is part of the training dataset
              - elsif prediction[:neighbors].size > 0
                %p
                / model type (classification|regression)
                %b Type:
                = model.model.class.to_s.match("Classification") ? "Classification" : "Regression"
                %br
                %b Prediction:
                = prediction[:value].numeric? ? "#{'%.2e' % prediction[:value]} (#{model.unit}) | #{'%.2e' % compound.mmol_to_mg(prediction[:value], mw)} (mg/kg_bw/day)" : prediction[:value]
                %br
                / TODO probability
                %b Confidence:
                = prediction[:confidence].round(3)
                %p
              - else
                %p
                  = "Not enough similar compounds </br>in training dataset."