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author | Patrick Simianer <p@simianer.de> | 2015-06-23 16:03:23 +0200 |
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committer | Patrick Simianer <p@simianer.de> | 2015-06-23 16:03:23 +0200 |
commit | 14f7bbab028d781cd2057a348862f911324338fd (patch) | |
tree | 170df2d80cb4aea161700e26bd951d06276a81f5 /views | |
parent | 553d54484725614fa73e805b59136a39e6dee295 (diff) |
overhaul
Diffstat (limited to 'views')
-rw-r--r-- | views/debug.haml | 71 |
1 files changed, 71 insertions, 0 deletions
diff --git a/views/debug.haml b/views/debug.haml new file mode 100644 index 0000000..2f90044 --- /dev/null +++ b/views/debug.haml @@ -0,0 +1,71 @@ +- require 'zipf' +!!! +%html + %head + %title debug view (for TODO) + %link(rel="stylesheet" type="text/css" href="debug.css") + %body + %h1 debug view (for TODO) + %table + %tr + %td.noborder + %strong source: + %td.left #{data["source"]} + %tr + %td.noborder + %strong post-edit: + %td.left #{data["target"]} + %tr + %td.noborder + %strong original mt: + %td.left #{data["1best"]} + %tr + %td.noborder + %strong best match (bleu=#{data["best_match_score"]}): + %td.left #{data["best_match"]} + %h2 meta + %p <strong>k:</strong> #{data["samples_size"]} + %p <strong>number of updates:</strong> #{data["num_up"]} + %p <strong>updated features:</strong> #{data["updated_features"]} + %p <strong>learning rate:</strong> #{data["learning_rate"]} + %h2 k-best + %p bleu | model score | original rank | translation \n features + %p.red update needed + %ol + - kbest = [] + - 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]} <br/> + %pre #{k[3]} + - else + %li + %strong #{"%.2f"%(k[0].to_f*100)} | #{k[1]} | #{k[2]} | #{k[4]} <br/> + %pre #{k[3]} + - if [9,89].include? j + %hr + %h2 weight updates + %table + %tr + %th feature + %th before + %th after + %th diff + %th raw diff + - data["weights_after"].keys.each.sort { |a,b| a[0] <=> b[0] }.each do |k| + %tr + %td.noborder <strong> #{k} </strong> + %td #{"%+.3f"%data["weights_before"][k].round(4)} + %td #{"%+.3f"%data["weights_after"][k].round(4)} + - diff = data["weights_before"][k].abs-data["weights_after"][k].abs + - if diff < 0 + %td.red #{"%+.3f"%(diff).round(4)} + - elsif diff > 0 + %td.green #{"%+.3f"%(diff).round(4)} + - else + %td #{"%+.3f"%(diff).round(4)} + %td #{"%+.1f"%((data["weights_before"][k].abs-data["weights_after"][k].abs)/data["learning_rate"]).round(2)} + |