From f86c084311282036ffa7b4588c0fa0d5b59af95b Mon Sep 17 00:00:00 2001 From: gebele Date: Thu, 24 Nov 2016 16:03:09 +0000 Subject: several fixes; works with lazar tree e111369ce5564f159b3f5f85c92afdd22352eaa1 --- views/prediction.haml | 35 ++++++++++++++++++++++------------- 1 file changed, 22 insertions(+), 13 deletions(-) (limited to 'views/prediction.haml') diff --git a/views/prediction.haml b/views/prediction.haml index 0f3d57b..1aefe06 100644 --- a/views/prediction.haml +++ b/views/prediction.haml @@ -18,7 +18,6 @@ %td{:id=>"compound", :style=>"vertical-align:top;"} %p= @compound.svg %p= @compound.smiles - - mw = @compound.molecular_weight - @model_types = {} - @dbhit = {} - @predictions.each_with_index do |prediction,i| @@ -29,17 +28,20 @@ %b{:class => "title"} = "#{@models[i].endpoint.gsub('_', ' ')} (#{@models[i].species})" %p - - if prediction[:confidence] == "measured" + - if prediction[:warning] =~ /\b(identical)\b/i - @dbhit[i] = true %p + /TODO combine with regular view, if prediction value is present %b Measured activity: - p prediction[:value] - if prediction[:value].is_a?(Array) - = (type == "Regression") ? prediction[:value].collect{|v| weight = Compound.from_smiles(@compound.smiles).mmol_to_mg(v); '%.2e' % v + " (#{unit})"+", #{'%.2e' % weight} #{unit == "mmol/L" ? "(mg/L)" : "(mg/kg_bw/day)"}"}.join("
") : prediction[:value].join(", ") + = (type == "Regression") ? prediction[:value].collect{|value| "#{value} (#{unit}) , #{@compound.mmol_to_mg(value.delog10)} #{unit =~ /mmol\/L/ ? "(mg/L)" : "(mg/kg_bw/day)"}"}.join("
") : prediction[:value].join(", ") - else - = (type == "Regression") ? "#{"%.2e" % prediction[:value]} (#{unit}), #{'%.2e' % @compound.mmol_to_mg(prediction[:value])} #{(unit == "mmol/L") ? "(mg/L)" : "(mg/kg_bw/day)"}" : prediction[:value] + = (type == "Regression") ? "#{prediction[:value]} (#{unit}), #{@compound.mmol_to_mg(prediction[:value].delog10)} #{(unit =~ /\b(mol\/L)\b/) ? "(mg/L)" : "(mg/kg_bw/day)"}" : prediction[:value] %p %b Compound is part of the training dataset + / warning popover + %a.btn.glyphicon.glyphicon-info-sign{:href=>"#", :title=>"Warnings", :tabindex=>"0", data: {trigger:"focus", toggle:"popover", placement:"left", html:"true", content:"#{prediction[:warning]}"}} - elsif prediction[:neighbors].size > 0 %p / model type (classification|regression) @@ -47,23 +49,30 @@ = type %br %b Prediction: - = (type == "Regression") ? "#{'%.2e' % prediction[:value]} (#{unit}) , #{'%.2e' % @compound.mmol_to_mg(prediction[:value])} #{(unit == "mmol/L") ? "(mg/L)" : "(mg/kg_bw/day)"}" : prediction[:value] - / tabindex=0 seems the best fix for FF|S browsers on OSX better than trigger="click focus" which ends up in double click for FF. / prediction popover %a.btn.glyphicon.glyphicon-info-sign{:href=>"#", :title=>"Prediction", :tabindex=>"0", data: {trigger:"focus", toggle:"popover", placement:"left", html:"true", content:"

lazar searches the training dataset for similar compounds (neighbors) and calculates the prediction from their experimental activities.

Classification:
Majority vote of neighbor activities weighted by similarity.

Regression:
Prediction from a local partial least squares regression model with neighbor activities weighted by similarity.

Original publication."}} %br + = (type == "Regression") ? "#{prediction[:value].delog10} (#{unit})
#{@compound.mmol_to_mg(prediction[:value].delog10)} #{(unit =~ /\b(mol\/L)\b/) ? "(mg/L)" : "(mg/kg_bw/day)"}" : prediction[:value] + / tabindex=0 seems the best fix for FF|S browsers on OSX better than trigger="click focus" which ends up in double click for FF. + %br - if type == "Regression" %b 95% Prediction interval: - - interval = prediction[:prediction_interval].nil? ? " - - " : prediction[:prediction_interval].collect{|i| i.round(2)} - %br - = "#{interval[0]} - #{interval[1]} (#{unit}), #{'%.2e' % @compound.mmol_to_mg(interval[0])} - #{'%.2e' % @compound.mmol_to_mg(interval[1])} #{(unit == "mmol/L") ? "(mg/L)" : "(mg/kg_bw/day)"}" + - interval = (prediction[:prediction_interval].nil? ? ["- -","- -"] : prediction[:prediction_interval]) / prediction intervall popover %a.btn.glyphicon.glyphicon-info-sign{:href=>"#", :title=>"Prediction intervall", :tabindex=>"0", data: {trigger:"focus", toggle:"popover", placement:"left", html:"true", content:"An estimate of prediction uncertainty. The \"real\" value should be with 95% probability within the prediction interval."}} + %br + = "#{interval[0].delog10} - #{interval[1].delog10} (#{unit})" + %br + = "#{@compound.mmol_to_mg(interval[0].delog10)} - #{@compound.mmol_to_mg(interval[1].delog10)} #{(unit =~ /\b(mol\/L)\b/) ? "(mg/L)" : "(mg/kg_bw/day)"}" if !prediction[:prediction_interval].nil? - else - %b Confidence: - = prediction[:confidence].round(2) unless prediction[:confidence].nil? - / confidence popover - %a.btn.glyphicon.glyphicon-info-sign{:href=>"#", :title=>"Confidence", :tabindex=>"0", data: {trigger:"focus", 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."}} + %b Probability: + - unless prediction[:probabilities].nil? + %br + = "#{prediction[:probabilities].keys[0]}: #{prediction[:probabilities].values[0]}" + %br + = "#{prediction[:probabilities].keys[1]}: #{prediction[:probabilities].values[1]}" + / probability popover + -#%a.btn.glyphicon.glyphicon-info-sign{:href=>"#", :title=>"Confidence", :tabindex=>"0", data: {trigger:"focus", 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 / - if @model_type[i] =~ /classification/i && (p.data_entries[0][1] != nil && p.data_entries[0][1] != 0.0) -- cgit v1.2.3