diff options
Diffstat (limited to 'views/predict.haml')
| -rw-r--r-- | views/predict.haml | 225 |
1 files changed, 192 insertions, 33 deletions
diff --git a/views/predict.haml b/views/predict.haml index 77f16bc..917a04a 100644 --- a/views/predict.haml +++ b/views/predict.haml @@ -1,21 +1,58 @@ %link{ :href=>"/jsme/jsa.css", :rel=>"stylesheet"} %script{:src=>"/jsme/jsme.nocache.js"} :javascript + function getTab(){ + t = $('.nav-tabs li.active').text(); + return t.trim(); + }; function showcircle() { - if (checksmiles() && checkboxes()){ + /*if (checksmiles() && checkboxes()){ button = document.getElementById("submit"); image = document.getElementById("circle"); button.parentNode.replaceChild(image, button); $("img.circle").show(); return true; }; + return false;*/ + switch (getTab()){ + case "single": + if (checksmiles() && checkboxes()){ + button = document.getElementById("submit"); + image = document.getElementById("circle"); + button.parentNode.replaceChild(image, button); + $("img.circle").show(); + return true; + }; + return false; + break; + case "batch": + if (checkfile() && checkboxes()){ + button = document.getElementById("submit"); + image = document.getElementById("circle"); + button.parentNode.replaceChild(image, button); + $("img.circle").show(); + return true; + }; + return false; + break; + default: false; + }; + return false; + }; + function checkfile() { + var fileinput = document.getElementById("fileselect"); + if(fileinput.value != "") { + //TODO check file type is csv + return true; + }; + alert("Please select a file (csv)."); return false; }; function checksmiles () { + getsmiles(); if (document.form.identifier.value == "") { alert("Please draw or insert a chemical structure."); document.form.identifier.focus(); - //$('.progress-bar').hide(); $("img.circle").hide(); return false; }; @@ -48,49 +85,171 @@ }; }; -// init task for progress - // whole site content needs to be in one form. Input and checkboxes are proofed by js functions. %form{:name => "form", :action => to('/predict'), :method => "post", :enctype => "multipart/form-data", :onsubmit => "return !!(showcircle())" } %fieldset#top.well - %h2 1. Draw a chemical structure - :javascript - $("a#linkInsert").click(function () { - $("#insert").toggle(); - document.location = document.location + "#" + "insert"; - }); - #insert - %p - %label - #appletContainer - %br - %label{:for => 'identifier'} - or enter the - %a{:href => "http://en.wikipedia.org/wiki/Simplified_molecular_input_line_entry_specification", :rel => "external"} SMILES - string: - %br - %input{:type => 'text', :name => 'identifier', :id => 'identifier', :size => '60'} + // tabs to select single prediction or batch prediction + %ul.nav.nav-tabs{:role=>"tablist"} + - ["single", "batch"].each do |select| + %li{:class => ("active" if select == "single")} + %a{:href => "div##{select}", :id => "linkTab#{select}", :data=> {:toggle=>"tab"}} + = select + + %div.tab-content + #single.tab-pane.fade-in.active + %h2 1. Draw a chemical structure + #insert + %p + %label + #appletContainer + %br + %label{:for => 'identifier'} + or enter the + %a{:href => "http://en.wikipedia.org/wiki/Simplified_molecular_input_line_entry_specification", :rel => "external"} SMILES + string: + %br + %input{:type => 'text', :name => 'identifier', :id => 'identifier', :size => '60'} + + #batch.tab-pane.fade-in + %h2 1. Select a file to upload + Browse (csv): + %span.btn.btn-default.btn-file + %input{:type=>"file", :name=> "fileselect", :id=>"fileselect"} %fieldset#middle.well %h2 2. Select one or more endpoints - - :javascript - $("a#linkModels").click(function () { - $("#models").toggle(); - document.location = document.location + "#" + "models"; - }); - #models - @endpoints.each do |endpoint| - %div - %b= endpoint + %div{:id=>endpoint} + %h4.head-back=endpoint - @models.select{|m| m.endpoint == endpoint}.each do |model| - %div{:id => model.id} - %input{:type => "checkbox", :name => "selection[#{model.id}]", :id => "selection[#{model.id}]", :value => true, :disabled => false} + %div.row{:id => model.id} + %span.col-sm-4 + %input{:type => "checkbox", :name => "selection[#{model.id}]", :id => "selection[#{model.id}]", :value => true, :disabled => false} %label{:for => "selection[#{model.id}]"} = model.species - %p + %span.col-sm-8 + %a.btn.btn-default.btn-xs{:data=>{:toggle=>"collapse"}, :href=>"#details#{model.id}", :id => "link#{model.id}", :style=>"font-size:small;"} + Details | Validation + %div.panel-collapse.collapse{:id=>"details#{model.id}", :style=>"margin-left:1em;"} + %b Model: + = model.id + %br + = "Algorithm:\tLAZAR" + %br + - model.classification? ? type = "classification" : type = "regression" + = "Type:\t" + = type + %br + - training_dataset = OpenTox::Dataset.find model.training_dataset.id + = "Training dataset:\t" + = training_dataset.source.split("/").last + %br + = "Training compounds:\t" + = training_dataset.compounds.size + + + %p + %b Validation: + %br + - cv = OpenTox::CrossValidation.find model.crossvalidation.id + = "Num folds:\t" + = cv.folds + %br + = "Num instances:\t" + = cv.nr_instances + %br + = "Num unpredicted" + = cv.nr_unpredicted + - if model.classification? + %br + = "Accuracy:\t" + = cv.accuracy.round(3) + %br + = "Weighted Accuracy:\t" + = cv.weighted_accuracy.round(3) + %br + = "True positive rate:\t" + = cv.true_rate["active"].round(3) + %br + = "True negative rate:\t" + = cv.true_rate["inactive"].round(3) + %br + = "Positive predictive value:\t" + = cv.predictivity["active"].round(3) + %br + = "Negative predictive value:\t" + = cv.predictivity["inactive"].round(3) + %p + %b Confusion Matrix: + %table.table.table-condensed.table-borderless{:style=>"width:20%;"} + %tbody + %tr + %td + %td + %td + %b actual + %td + %td + %tr + %td + %td + %td active + %td inactive + %td total + %tr + %td + %b predicted + %td active + %td + =cv.confusion_matrix[0][0] + %td + =cv.confusion_matrix[0][1] + %td + =cv.confusion_matrix[0][0]+cv.confusion_matrix[0][1] + %tr + %td + %td inactive + %td + =cv.confusion_matrix[1][0] + %td + =cv.confusion_matrix[1][1] + %td + =cv.confusion_matrix[1][0]+cv.confusion_matrix[1][1] + %tr + %td + %td total + %td + =cv.confusion_matrix[0][0]+cv.confusion_matrix[1][0] + %td + =cv.confusion_matrix[0][1]+cv.confusion_matrix[1][1] + %td + -#= "Confusion Matrix:\t" + -#= cv.confusion_matrix + - if model.regression? + %br + = "Root mean squared error:\t" + = cv.rmse.round(3) + %br + = "Weighted root mean squared error:\t" + = cv.weighted_rmse.round(3) + %br + = "Mean absolute error:\t" + = cv.mae.round(3) + %br + = "Weighted mean absolute error:\t" + = cv.weighted_mae.round(3) + %br + = "R square:\t" + = cv.r_squared.round(3) + %br + -#= "Correlation plot" + -#= cv.correlation_plot + %br + -#= "Confidence plot:" + -#= cv.confidence_plot + %hr %fieldset#bottom.well |