diff options
Diffstat (limited to 'views/prediction.haml')
| -rw-r--r-- | views/prediction.haml | 9 |
1 files changed, 5 insertions, 4 deletions
diff --git a/views/prediction.haml b/views/prediction.haml index e7bc88a..47bd9b7 100644 --- a/views/prediction.haml +++ b/views/prediction.haml @@ -22,6 +22,7 @@ %p= @compound.svg %p= @compound.smiles - @predictions.each_with_index do |prediction,i| + - type = @models[i].model.class.to_s.match("Classification") ? "Classification" : "Regression" %td{:style=>"vertical-align:top;"} %b{:class => "title"} = "#{@models[i].endpoint.gsub('_', ' ')} (#{@models[i].species})" @@ -30,23 +31,23 @@ %p / TODO fix scientific notation from database %b Measured activity: - = prediction[:value].numeric? ? "#{prediction[:value].to_f.round(3)} (#{@models[i].unit})" : prediction[:value] + = (type == "Regression") ? "#{prediction[:value].round(2)} (#{@models[i].unit})" : prediction[:value] %p Compound is part of the training dataset - elsif prediction[:neighbors].size > 0 %p / model type (classification|regression) %b Type: - = @models[i].model.class.to_s.match("Classification") ? "Classification" : "Regression" + = type %br %b Prediction: / TODO scientific notation - = prediction[:value].numeric? ? "#{'%.2e' % prediction[:value]} #{@models[i].unit}" : prediction[:value] + = (type == "Regression") ? "#{'%.2e' % prediction[:value]} #{@models[i].unit}" : prediction[:value] / TODO update description / %a.btn.glyphicon.glyphicon-info-sign{:href=>"#", :title=>"Prediction", data: {toggle:"popover", placement:"left", html:"true", content:"LAZAR calculates searches the training dataset for similar compounds (neighbors) and calculates the prediction from their measured activities. LAZAR calculates predictions using <ul><li>a majority vote (weighted by compound similarity) for<br /><b>classification</b> (<a href='http://www.frontiersin.org/Journal/10.3389/fphar.2013.00038/abstract', target='_blank'>original publication</a>) </li><li>a local QSAR model based on neighbors for<br /><b>regression</b> (<a href='http://www.frontiersin.org/Journal/10.3389/fphar.2013.00038/abstract', target='_blank'</h>original publication</a>) </li></ul>Please keep in mind that predictions are based on the measured activities of neighbors."}} %br / TODO probability %b Confidence: - = prediction[:confidence].round(3) + = prediction[:confidence].round(2) / %a.btn.glyphicon.glyphicon-info-sign{:href=>"#", :title=>"Confidence", data: {toggle:"popover", placement:"left", html:"true", content:"Indicates the applicability domain of a model. Predictions with a high confidence can be expected to be more reliable than predictions with low confidence. Confidence values may take any value between 0 and 1. For most models confidence > 0.025 is a sensible (hard) cutoff to distinguish between reliable and unreliable predictions."}} %p /TODO add tooltip for significant ftagments and descriptors |