diff options
| -rw-r--r-- | js/debug.js | 61 | ||||
| -rw-r--r-- | static/debug.css | 32 | ||||
| -rw-r--r-- | views/debug.haml | 400 |
3 files changed, 327 insertions, 166 deletions
diff --git a/js/debug.js b/js/debug.js index e54d3f1..9bc50f7 100644 --- a/js/debug.js +++ b/js/debug.js @@ -1,18 +1,69 @@ $().ready(function() { - // use ajax to send commands to the server - $(".ajax").each(function(x){ - $(this).click(function(){ + + // send commands using ajax + $(".ajax").each(function(x) { + $(this).click(function() { $.ajax({url: $(this).attr("tgt"), success: function(result){ $("#control_reply").html(result); }}); }) }) + $("#features").click(function() { if (this.value=="Feature") this.value = ""; }); + $("#features").focusout(function() { if (this.value == "") this.value = "Feature"; }); + $("#features_value").click(function() { this.value = ""; }); + $("#features_value").focusout(function() { if (this.value == "") this.value = "1e-05"; }); + $("#feature_groups_value").click(function() { this.value = ""; }); + $("#feature_groups_value").focusout(function() { if (this.value == "") this.value = "1e-05"; }); + $("#set_features").click(function() { + k = $("#features").val(); + v = $("#features_value").val(); + if (k=="Feature" || k=="" || v=="" || !parseFloat(v)) { + alert("Malformed request."); + } else { + url_prefix = $("#features_type").val(); + $.ajax({url: url_prefix+"/"+k+"/"+v, success: function(result){ + $("#control_reply").html(result); + }}); + } + }); + $("#set_feature_groups").click(function() { + k = $("#feature_groups").val(); + v = $("#feature_groups_value").val(); + if (v=="" || !parseFloat(v)) { + alert("Malformed request."); + } else { + $.ajax({url: "/set_learning_rates/"+k+"/"+v, success: function(result){ + $("#control_reply").html(result); + }}); + } + }); + + // sortable tables + $("table.sortable").each(function(x) { + $(this).tablesorter({widgets: ['zebra']}); + }); + + // k-best list feature tables + $(".toggle").each(function(x) { + $(this).click(function() { + $(this).next().toggle(); + }) + }); + $("table.kbest_features tr:odd").css("background-color", "#eee"); + $("table.kbest_features tr:even").css("background-color", "#fff"); // display svg var d = atob(document.getElementById("svg_b64").innerHTML); - $('#svg').append($('<svg width="10000px">'+d+'</svg>')); + $('#svg').append( + $('<svg width="100%">'+d+'</svg>') + ); + $("#svg").width($("#svg").children()[0].getBBox().width+"px"); d = atob(document.getElementById("original_svg_b64").innerHTML); - $('#original_svg').append($('<svg width="10000px">'+d+'</svg>')); + $('#original_svg').append( + $('<svg width="100%">'+d+'</svg>') + ); + $("#original_svg").width($("#original_svg").children()[0].getBBox().width+"px"); + }); diff --git a/static/debug.css b/static/debug.css index d5291e8..baa9148 100644 --- a/static/debug.css +++ b/static/debug.css @@ -1,11 +1,33 @@ -body { margin:2em; background:#eee } +body { margin:2em; background:#fff } +a { color:blue; text-decoration:underline } +a:hover { color:#000 } +h2 { padding:.25em; border-bottom:1px solid #000; border-top:1px solid #000 } +.black { color:#000 } .red { color:red } .green { color:green } -th { border:1px solid #000 } -td { border:1px solid #000; text-align:right } +.small { font-size:.8em } +.tiny { font-size:.6em!important } +.big { font-size:1.1em } +.mono { font-family:monospace } +.even { background:#fff } +.odd { background:#eee } +.up { text-align:right;margin-right:1em } +tr:hover { background:#ccc } +td { border-top:1px solid #000 } td.noborder { border:0 } td.left { text-align:left } -a { color:blue } -h1,h2 { background:#fff; padding:.25em } +td.center { text-align:center } +td.right { text-align:right } #svg_b64,#original_svg_b64 { display:none } +#floater { + float:right; + border:1px solid #000; + background:#eee; + padding:1em; + margin-top:5em +} +table { + margin-left:auto; + margin-right:auto; +} diff --git a/views/debug.haml b/views/debug.haml index e7b6a7b..616bfee 100644 --- a/views/debug.haml +++ b/views/debug.haml @@ -4,26 +4,29 @@ %head %title Debug view (Session ##{session_key}) %link(rel="stylesheet" type="text/css" href="debug.css") - %script{:src =>"http://ajax.googleapis.com/ajax/libs/jquery/1.11.2/jquery.min.js", :charset=>"utf-8"} + %script{:src => "http://postedit.cl.uni-heidelberg.de/js/jquery.min.js"} + %script{:src => "http://postedit.cl.uni-heidelberg.de/js/jquery.tablesorter.min.js"} %script{:src => "http://postedit.cl.uni-heidelberg.de/js/debug.js"} %body %h1 Debug view - %h2 Session [##{session_key}] - - if pairwise_ranking_data["kbest"].empty? - %p.red - %strong No data to show! - %ul - %li - %a{ :href => "#controls" } Controls - %li - %a{ :href => "#post_edit" } Post-edit & machine translation - %li - %a{ :href => "#meta" } Meta - %li - %a{ :href => "#rules" } Learned rules - %li - %a{ :href => "#pairwise_ranking" } Pairwise ranking - %hr + %div#floater + - if pairwise_ranking_data["kbest"].empty? + %p.red + %strong No data to show! + %ul + %li + %a{ :href => "#controls" } Controls + %li + %a{ :href => "#post_edit" } Post-edit + %li + %a{ :href => "#grammar" } Grammar + %li + %a{ :href => "#weights" } Weights + %li + %a{ :href => "#kbest" } K-best + + %p.tiny Session: ##{session_key} + /=######################################################################### %h2#controls Controls %h3 Reset @@ -32,205 +35,290 @@ %span#control_reply %ul %li - %a.ajax{:tgt => "/reset_progress", :href => "#controls"} Reset progress + %a.ajax{:tgt => "/reset_progress", :href => "#controls"} Reset progress %li - %a.ajax{:tgt => "/reset_weights", :href => "#controls"} Reset weights + %a.ajax{:tgt => "/reset_weights", :href => "#controls"} Reset weights %li - %a.ajax{:tgt => "/reset_extractor", :href => "#controls"} Reset extractor + %a.ajax{:tgt => "/reset_learning_rates", :href => "#controls"} Reset learning rates %li - %a.ajax{:tgt => "/reset_new_rules", :href => "#controls"} Reset new rules + %a.ajax{:tgt => "/reset_extractor", :href => "#controls"} Reset extractor %li - %a.ajax{:tgt => "/shutdown", :href => "#controls"} Initiate shutdown - %h3 Learning rate - %p Default for dense features: <strong>1.0e-05</strong>, for sparse features: <strong>1.0e-05</strong> - %select - - [1000,100,10,1,0.1,0.01,0.001,0.0001,0.00001,0.000001,0.0000001,0.00000001,0.000000001,0.0000000001].each do |i| - %option.ajax{:value => i, :tgt => "/set_learning_rate/#{i}"} #{i} - %em dense features <br /> - %select - - [1000,100,10,1,0.1,0.01,0.001,0.0001,0.00001,0.000001,0.0000001,0.00000001,0.000000001,0.0000000001].each do |i| - %option.ajax{:value => i, :tgt => "/set_learning_rate/sparse/#{i}"} #{i} - %em sparse features - %p - %a{ :href => "#" } ^ up - %hr + %a.ajax{:tgt => "/reset_new_rules", :href => "#controls"} Reset new rules + %li + %a.ajax{:tgt => "/shutdown", :href => "#controls"} Initiate shutdown + %h3 Learning rates & weights + %p Set default weight or rate for specific features: + %select#features_type + %option{ :value => "/set_weights" } Weight + %option{ :value => "/set_learning_rates" } Rate + %input#features{ :value => "Feature", :style => "text-align:center; width:20em" } + %input#features_value{ :value => "1e-05", :style => "text-align:right; width:5em" } + %button#set_features + Set + %p Set rate for feature groups: + %select#feature_groups + %option{ :value => "R" } rule ids + %option{ :value => "RB" } rule bigrams + %option{ :value => "Shape" } rule shapes + %input#feature_groups_value{ :value => "1e-05", :style => "text-align:right; width:5em" } + %button#set_feature_groups + Set rate + + /=######################################################################### - %h2#post_edit Post-edit & machine translation + %h2#post_edit Post-edit + + %p#original_svg_b64 #{data["original_svg"][progress]} - %p#svg_b64 #{data["svg"][progress]} + %p Before: %div#original_svg + + %p#svg_b64 #{data["svg"][progress]} + %p After: %div#svg + %table %tr %td.noborder - %strong progress: - %td.left #{[0,progress].max} + %strong Progress: + %td.left.noborder #{[0,progress].max} %tr %td.noborder - %strong MT Input - %td.left #{data["source_segments"][[0,progress].max]} + %strong MT Input: + %td.left.noborder #{data["source_segments"][[0,progress].max]} %tr %td.noborder - %strong Raw source - %td.left #{data["raw_source_segments"][[0,progress].max]} + %strong Raw source: + %td.left.noborder #{data["raw_source_segments"][[0,progress].max]} %tr %td.noborder - %strong Post-edit - %td.left #{data["post_edits_raw"][progress]} + %strong Post-edit: + %td.left.noborder #{data["post_edits_raw"][progress]} %tr %td.noborder - %strong Post-edit (processed) - %td.left #{data["post_edits"][progress]} + %strong Post-edit (processed): + %td.left.noborder #{data["post_edits"][progress]} %tr %td.noborder - %strong Original MT - %td.left #{data["mt_raw"][progress]} + %strong Original MT: + %td.left.noborder #{data["mt_raw"][progress]} %tr %td.noborder - %strong Displayed MT - %td.left #{data["mt"][progress]} + %strong Displayed MT: + %td.left.noborder #{data["mt"][progress]} %tr %td.noborder - %strong Best match (BLEU=#{(pairwise_ranking_data["best_match_score"]*100).round(2)}%) - %td.left #{pairwise_ranking_data["best_match"]} - %h2 Derivation - %pre #{data["derivations"][progress]} - /= %h3 Processed - /= - if data["derivations_proc"][progress] - /= %pre #{JSON.pretty_generate(JSON.parse(data["derivations_proc"][progress]))} - %h2 Client reply - - if data["feedback"][progress] - %pre #{JSON.pretty_generate(JSON.parse(data["feedback"][progress]))} + %strong Best match (BLEU=#{(pairwise_ranking_data["best_match_score"]*100).round(2)}%): + %td.left.noborder #{pairwise_ranking_data["best_match"]} + + %h3 Metadata + %p <strong>K:</strong> #{pairwise_ranking_data["samples_size"]} + %p <strong>Number of updates:</strong> #{pairwise_ranking_data["num_up"]} + %p <strong>Updated features:</strong> #{pairwise_ranking_data["updated_features"]} + %p <strong>Duration:</strong> #{data["durations"][progress]}ms + %p <strong>Updated:</strong> #{data["updated"][progress]} + + %h3 Derivation %p - %a{ :href => "#" } ^ up - %hr - /=######################################################################### - %h2#meta Meta - %p <strong>k:</strong> #{pairwise_ranking_data["samples_size"]} - %p <strong>number of updates:</strong> #{pairwise_ranking_data["num_up"]} - %p <strong>updated features:</strong> #{pairwise_ranking_data["updated_features"]} - %p <strong>learning rate:</strong> #{pairwise_ranking_data["learning_rate"]} - %p <strong>learning rate (sparse):</strong> #{pairwise_ranking_data["learning_rate_sparse"]} - %p <strong>duration:</strong> #{data["durations"][progress]}ms - %p <strong>updated:</strong> #{data["updated"][progress]} + %a{:onclick => "$('#derivation').toggle()"} Show/hide original raw derivation. + %pre#derivation{:style => "display:none"} #{data["derivations"][progress]} + + %h3 Client reply %p + %a{:onclick => "$('#client_reply').toggle()"} Show/hide raw JSON client reply. + - if data["feedback"][progress] + - client_reply = JSON.parse(data["feedback"][progress]) + - client_reply["svg"] = "omitted" + - client_reply["original_svg"] = "omitted" + %pre#client_reply{ :style => "display:none" } #{JSON.pretty_generate(client_reply)} + + %p.up %a{ :href => "#" } ^ up - %hr + /=######################################################################### - %h2#rules New & known rules - %pre #{additional_rules.join("\n")} + %h2#grammar Grammar + + %h3 + New Rules + %p Including OOV fixes. + %table.sortable + %thead + %th Source + %th + %th Target + %tbody + - additional_rules.each do |rule_string| + - nt, src, tgt, f, a = splitpipe(rule_string) + %tr + %td #{src} + %td.big ↣ + %td #{tgt} + %h3 Known rules - %pre #{rejected_rules.join("\n")} - %p + %table.sortable + %thead + %th Source + %th + %th Target + %tbody + - rejected_rules.each do |rule_string| + - nt, src, tgt, f, a = splitpipe(rule_string) + %tr + %td #{src} + %td.big ↣ + %td #{tgt} + + %p.up %a{ :href => "#" } ^ up - %hr + /=######################################################################### - %h2#pairwise_ranking Pairwise ranking updates - %h3 K-best list - %p (Empty or list from previous updates displayed if there was no change in the current post-edit.) - %pre [BLEU score | Model score | Original rank | \|e\| | Translation \n Features] - %p.red In red: Update needed, i.e. "any of the above hypotheses has a lower model score" - %ol - - kbest = [] - - pairwise_ranking_data["kbest"].each { |i| x=splitpipe(i); kbest << [ x[0].to_f, x[1].to_f, x[2].to_i, x[3], x[4] ] } - - kbest.sort! { |i,j| j[0] <=> i[0] } - - kbest.each_with_index do |k,j| - - b = kbest[0,j].map { |l| l[0]>k[0] && l[1]<k[1] }.include? true - -if b - %li.red - %strong #{"%.2f"%(k[0].to_f*100)} | #{k[1]} | #{k[2]} | #{k[4].split.size} |#{k[4]} <br/> - %p{:style=>"font-size:80%"} #{k[3]} - - else - %li - %strong #{"%.2f"%(k[0].to_f*100)} | #{k[1]} | #{k[2]} | #{k[4].split.size} | #{k[4]} <br/> - %p{:style=>"font-size:80%"} #{k[3]} - - if [9,89].include? j - %hr + %h2#weights Weights + + %p N.B. that updates are only done if the post-edit is different from the original 1-best output of the decoder. + %h3 Weight updates - %p Raw update: #{pairwise_ranking_data["update_raw"]} - /=%p Update (learning rates applied): <pre>#{pairwise_ranking_data["update"]}</pre> - /=- "#{pairwise_ranking_data["update"]}" - %table - %tr - %th Feature - %th Before - %th After - %th Diff. - %th Raw diff. - - pairwise_ranking_data["weights_before"].default = 0 - - pairwise_ranking_data["weights_after"].keys.each.sort { |a,b| a[0] <=> b[0] }.each do |k| + %table.sortable + %thead %tr - %td.noborder <strong> #{k} </strong> - %td #{"%+.3f"%pairwise_ranking_data["weights_before"][k].round(4)} - %td #{"%+.3f"%pairwise_ranking_data["weights_after"][k].round(4)} - - diff = pairwise_ranking_data["weights_after"][k]-pairwise_ranking_data["weights_before"][k] - - if diff < 0 - %td.red #{"%+.3f"%(diff).round(4)} - - elsif diff > 0 - %td.green #{"%+.3f"%(diff).round(4)} - - else - %td #{"%+.3f"%(diff).round(4)} - - if !k.start_with? "R:" - %td #{"%+.1f"%((pairwise_ranking_data["weights_after"][k]-pairwise_ranking_data["weights_before"][k])/pairwise_ranking_data["learning_rate"]).round(2)} - - else - %td #{"%+.1f"%((pairwise_ranking_data["weights_after"][k]-pairwise_ranking_data["weights_before"][k])/pairwise_ranking_data["learning_rate_sparse"]).round(2)} - %h3 Features explained - %table + %th Feature + %th Before + %th After + %th Diff. + %th Raw diff. + %th Rate + %tbody + - if pairwise_ranking_data["update_raw"] + - raw_update = SparseVector.from_kv(pairwise_ranking_data["update_raw"]) + - pairwise_ranking_data["weights_before"].default = 0 + - pairwise_ranking_data["weights_after"].keys.each.sort { |a,b| a <=> b }.each do |k| + - diff = pairwise_ranking_data["weights_after"][k] - pairwise_ranking_data["weights_before"][k] + - if diff != 0.0 + %tr + %td.left <strong> #{k} </strong> + %td.right #{"%+.3f" % pairwise_ranking_data["weights_before"][k]} + %td.right #{"%+.3f" % pairwise_ranking_data["weights_after"][k]} + - rdiff = diff.round 3 + - if diff < 0 + %td.right.red #{rdiff} + - elsif diff > 0 + %td.right.green #{rdiff} + %td.right #{"%+.1f"%(raw_update[k])} + %td.right + - if pairwise_ranking_data["learning_rates"].has_key? k + #{pairwise_ranking_data["learning_rates"][k].round 10} + - elsif k.start_with? "R:" + #{pairwise_ranking_data["learning_rate_R"].round 10} + - elsif k.start_with? "RBS:" or k.start_with? "RBT:" + #{pairwise_ranking_data["learning_rate_RB"].round 10} + - elsif k.start_with? "Shape_" + #{pairwise_ranking_data["learning_rate_Shape"].round 10} + - else + ERROR: unknown key #{k} + + %p + %a{ :onclick => "$('#features').toggle()" } Explanations + %table#features{ :style => "display:none" } %tr - %td.noborder EgivenFCoherent (rule) + %td EgivenFCoherent %td.left -log10[ c(e, f) / sample c(f) ] %tr - %td.noborder NewRule (rule) - %td.left Only feature of additional rules, weight fixed at 1 + %td NewRule + %td.left New rules extracted from post-edits (this is the only feature of those rules) %tr - %td.noborder KnownRule (rule) - %td.left Added to existing rules if they could be extracted from previous post-edits + %td KnownRule + %td.left Added to already existing rules if they could be also be extracted from post-edits %tr - %td.noborder OOVFix (rule) - %td.left Manually added rules to fix OOV words + %td OOVFix + %td.left Manually added rules for OOV items %tr - %td.noborder Glue + %td Glue %td.left Absolute number of rules used from glue grammar %tr - %td.noborder IsSingletonF/E (rule) + %td IsSingletonF/E %td.left true|false (1|0) (sum) %tr - %td.noborder IsSingletonFE (rule) + %td IsSingletonFE %td.left true|false (1|0) (sum) %tr - %td.noborder LanguageModel + %td LanguageModel %td.left -log10[ score ] %tr - %td.noborder LanguageModel_OOV - %td.left Abs. count of OOV unigrams + %td LanguageModel_OOV + %td.left Absolute count of OOV unigrams %tr - %td.noborder MaxLexFgivenE (rule) + %td MaxLexFgivenE %td.left Sum_f -log10(maxScore) (maxScore = max_e(ttable(f)) %tr - %td.noborder MaxLexEgivenF (rule) + %td MaxLexEgivenF %td.left Sum_e -log10(maxScore) (maxScore = max_f(ttable(e)) %tr - %td.noborder PassThrough - %td.left Absolute count of used PassThrough rules (1 per word) + %td PassThrough + %td.left Absolute count of applied PassThrough rules %tr - %td.noborder SampleCountF (rule) + %td SampleCountF %td.left log10 [ sample c(f) ] %tr - %td.noborder WordPenalty + %td WordPenalty %td.left log_10(e)*|e| = 1/log(10) * |e| (*-1) = -0.43429448190325176*|e| %tr - %td.noborder SourceWordPenalty (per edge/rule) - %td.left ^^^ (|e| <=> |f|) + %td SourceWordPenalty + %td.left As WordPenalty (|e| <=> |f|) %tr - %td.noborder R:* - %td.left Rule indicator features, sum over full derivation per rule + %td R:* + %td.left Rule indicator features (sum of rule applications) %tr - %td.noborder Shape_* - %td.left Indicator features for rule shapes + %td Shape_* + %td.left Indicator features for rule shapes (39 in total) %tr - %td.noborder IsSupportedOnline - %td.left Counts how many rules have support from local context (Denkowski) - %p - %a{ :href => "#" } ^ up + %td IsSupportedOnline + %td.left Rules with support from local context (Denkowski) + + %p.up + %a{ :href => "#" } ^ up + + /=######################################################################### + %h2#kbest K-best list + %p + %span.red In red: + %span Update needed, i.e. "any of the above hypotheses has a lower model score" (in default order). + %table.sortable + %thead + %tr + %th.center{:style => "width:5%"} Rank + %th.center{:style => "width:5%"} BLEU score + %th.center{:style => "width:5%"} Model score + %th.center{:style => "width:5%"} Original rank + %th.center{:style => "width:5%"} Token count + %th.center{:style => "width:75%"} Translation + %tbody + - kbest = [] + - pairwise_ranking_data["kbest"].each { |i| x=splitpipe(i); kbest << [ x[0].to_f, x[1].to_f, x[2].to_i, x[3], x[4] ] } + - kbest.sort! { |i,j| j[0] <=> i[0] } + - kbest.each_with_index do |k,j| + - add_class = "" + - if kbest[0,j].map { |l| l[0]>k[0] && l[1]<k[1] }.include? true + - add_class = "red" + %tr{:class => "#{add_class}"} + %td.center #{j+1} + %td.center #{"%.2f"%(k[0].to_f*100)} + %td.center #{k[1]} + %td.center #{k[2]+1} + %td.center #{k[4].split.size} + %td + %p #{k[4]} + %p.toggle + %a.tiny Features + %table.kbest_features.small.mono.black{:style => "display:none"} + %tr + %th Feature + %th Value + - k[3].split.sort.each do |i| + - k,_,v = i.rpartition "=" + %tr + %td #{k} + %td #{v} + + %p.up + %a{ :href => "#" } ^ up |