From 8e74fbbe98b4ef13c3d7a52352ab0e5ec99b7675 Mon Sep 17 00:00:00 2001
From: Christoph Helma <helma@in-silico.ch>
Date: Fri, 6 Aug 2010 13:27:13 +0200
Subject: prediction caching

---
 views/prediction.haml | 133 --------------------------------------------------
 1 file changed, 133 deletions(-)
 delete mode 100644 views/prediction.haml

(limited to 'views')

diff --git a/views/prediction.haml b/views/prediction.haml
deleted file mode 100644
index 0187f87..0000000
--- a/views/prediction.haml
+++ /dev/null
@@ -1,133 +0,0 @@
-.predictions
-  %table
-    %tr
-      %th= @title.gsub(/_lazar_.*$/,' ').capitalize
-      %th Prediction
-      %th 
-        %a{:href => "#", :id => "linkConfidence#{p.object_id}"} Confidence
-        :javascript
-          $("a#linkConfidence#{p.object_id}").click(function () {
-            $("dl#confidence").toggle();  
-          });
-      %th Relevant features
-    %tr
-      %th
-        %img{:src => @compound.image_uri, :alt => @compound.smiles}
-        %td
-          - if @measured_activities
-            %br
-            - @measured_activities.each do |a|
-              - if activity(a) == 'active'
-                .active
-                  = activity(a)
-              - elsif activity(a) == 'inactive'
-                .inactive
-                  = activity(a)
-              - else
-                = a
-            %br
-              (
-              %a{:href => "#", :id => "linkTrainingData#{p.object_id}"} Training data
-              :javascript
-                $("a#linkTrainingData#{p.object_id}").click(function () {
-                  $("dl#training_data").toggle();  
-                });
-              )
-
-          - else
-            - if activity(@activity) == 'active'
-              .active
-                = activity(@activity)
-            - elsif activity(@activity) == 'inactive'
-              .inactive
-                = activity(@activity)
-            - elsif @activity.is_a?(Float)
-              .other
-                = sprintf('%.03g', @activity)
-            - else
-              .other
-                %em= @activity.to_s
-        %td
-          = sprintf('%.03g', @confidence.to_f.abs) if @confidence
-        %td
-          %table
-            %tr
-              %th{:colspan => 2} activating
-              %th p value
-            - if @features[:activating]
-              - @features[:activating].sort{|a,b| b.last <=> a.last }.each do |f|
-                %tr
-                  %th= f[0]
-                  %td= f[1]
-            %tr
-              %th{:colspan => 2} deactivating
-              %th p value
-            - if @features[:deactivating]
-              - @features[:deactivating].sort{|a,b| b.last <=> a.last }.each do |f|
-                %tr
-                  %th= f[0]
-                  %td= f[1]
-    %tr
-      %th Neighbors
-      %th Activity
-      %th Similarity (activity specific)
-      %th Relevant features
-    - @neighbors.sort{|a,b| b.last[:similarity] <=> a.last[:similarity]}.each do |uri,data|
-      - c = OpenTox::Compound.new(:uri => uri)
-      %tr
-        %th 
-          %br= c.smiles
-          %br
-            %a{:href => c.image_uri, :target => "_blank"} Image
-          %br
-            %img{:src => c.image_uri, :alt => c.smiles}
-        %td
-          - data[:activities].each do |act|
-            - if activity(act) == 'active'
-              .active
-                = activity(act)
-            - elsif activity(act) == 'inactive'
-              .inactive
-                = activity(act)
-            - elsif act.is_a?(Float)
-              .other
-                = sprintf('%.03g', act)
-            - else
-              .other
-                %em= act.to_s
-        %td
-          = sprintf('%.03g', data[:similarity])
-        %td
-          %table
-            %tr
-              %th{:colspan => 2} activating
-              %th p value
-              -#%td= data[:features].inspect
-            -# data[:features][:activating].each do |f|
-            - data[:features][:activating].sort{|a,b| b.last[:p_value] <=> a.last[:p_value] }.each do |f|
-              -# f.inspect
-              %tr
-                %th= f[:smarts]
-                %td= f[:p_value]
-                %td=# f[:p_value]
-            %tr
-              %th{:colspan => 2} deactivating
-              %th p value
-            -# data[:features][:deactivating].sort{|a,b| b.last[:p_value] <=> a.last[:p_value] }.each do |f|
-            - data[:features][:deactivating].each do |f|
-              %tr
-                %th= f[:smarts]
-                %td= f[:p_value]
-
-
-
-%dl#confidence{ :style => "display: none;" }
-  %dt Confidence:
-  %dd 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 &gt; 0.025 is a sensible (hard) cutoff to distiguish between reliable and unreliable predictions.
-
-
-%dl#training_data{ :style => "display: none;" }
-  %dt Training data:
-  %dd Experimental result(s) from the training dataset are displayed here. 
-
-
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