summaryrefslogtreecommitdiff
path: root/views/prediction.haml
diff options
context:
space:
mode:
authorChristoph Helma <helma@in-silico.ch>2010-08-06 13:30:15 +0200
committerChristoph Helma <helma@in-silico.ch>2010-08-06 13:30:15 +0200
commit4315a4ef2bfc625dc2f3ed69dd6c90ddb0dd5593 (patch)
tree82d7520fba83cb2d5652ae7f61767cb112e72f94 /views/prediction.haml
parent05ed7ad074f48cf36b60740665c1a0962ff0a55d (diff)
lazar details implemented
Diffstat (limited to 'views/prediction.haml')
-rw-r--r--views/prediction.haml36
1 files changed, 5 insertions, 31 deletions
diff --git a/views/prediction.haml b/views/prediction.haml
index 94d7987..dd7d155 100644
--- a/views/prediction.haml
+++ b/views/prediction.haml
@@ -15,17 +15,10 @@
- if p[:measured_activities]
%br
- p[:measured_activities].each do |a|
- - if activity(a) == 'active'
- .active
- = activity(a)
- - elsif activity(a) == 'inactive'
- .inactive
- = activity(a)
- - else
- = a
+ = activity_markup(a)
%br
(
- %a{:href => "#", :id => "linkTrainingData#{p.object_id}"} Training data
+ %a{:href => "#", :id => "linkTrainingData#{p.object_id}"} Measured activity
:javascript
$("a#linkTrainingData#{p.object_id}").click(function () {
$("dl#training_data").toggle();
@@ -33,18 +26,7 @@
)
- else
- - if activity(p[:prediction]) == 'active'
- .active
- = activity(p[:prediction])
- - elsif activity(p[:prediction]) == 'inactive'
- .inactive
- = activity(p[:prediction])
- - elsif p[:prediction].is_a?(Float)
- .other
- = sprintf('%.03g', p[:prediction])
- - else
- .other
- %em= p[:prediction].to_s
+ = activity_markup(p[:prediction])
- if p[:confidence]
%br
(
@@ -61,13 +43,5 @@
%input{:type => :hidden, :name => :model_uri, :value => p[:model_uri]}
%input{ :type => "submit", :value => "Details"}
-%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.
-
-
+= haml :confidence, :layout => false
+= haml :training_data, :layout => false