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author | Christoph Helma <helma@in-silico.ch> | 2010-07-02 12:40:02 +0200 |
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committer | Christoph Helma <helma@in-silico.ch> | 2010-07-02 12:40:02 +0200 |
commit | 258e55e5cbd1355a30dad6bbe2a2638609db9a18 (patch) | |
tree | 9c8d60afd594ef7a13e4fd01593737826befcf85 /views/create.haml | |
parent | 80cb52f477870bd78b0f92e69650872da56fb1a5 (diff) |
regression validation (partially) working
Diffstat (limited to 'views/create.haml')
-rw-r--r-- | views/create.haml | 30 |
1 files changed, 17 insertions, 13 deletions
diff --git a/views/create.haml b/views/create.haml index 0f50756..3cf05c1 100644 --- a/views/create.haml +++ b/views/create.haml @@ -2,28 +2,32 @@ %p This service creates - %a{:href => 'http://lazar.in-silico.de'} lazar - %em classification - models (i.e. models that discriminate between toxic/nontoxic compounds) from your uploaded datasets. Here are - = link_to "instructions", '/excel_format' - , for creating training datasets in Excel. + %ul + %li + %a{:href => 'http://lazar.in-silico.de'} lazar + %em classification + models (i.e. models that discriminate between toxic/nontoxic compounds) and + %li + %a{:href => 'http://lazar.in-silico.de'} lazar + %em regression + models (i.e. models that predict quantitative values, e.g. LC50's) + from your uploaded datasets. Further modelling algorithms will be added in future versions. + %p - Facilities to create models for quantitative values (e.g. LC50s) and further modelling algorithms will be added in future versions. + Please read the + = link_to "instructions for creating training datasets", '/help' + before submitting. %form{ :action => url_for('/upload'), :method => "post", :enctype => "multipart/form-data" } %fieldset - -#%legend - Upload training data and create a - %a{:href => 'http://lazar.in-silico.de'} lazar - model - %label{:for => 'endpoint'} 1. Enter a name for your endpoint: + %label{:for => 'endpoint'} 1. Enter endpoint name and unit (for regression): %input{:type => 'text', :name => 'endpoint', :id => 'endpoint', :size => '50'} %br %label{:for => 'file'} 2. Upload training data in - = link_to "Excel", '/excel_format' + = link_to "Excel", '/help' or - = link_to "CSV", '/csv_format' + = link_to "CSV", '/help' format: %input{:type => 'file', :name => 'file', :id => 'file', :size => '41'} %input{ :type => "submit", :value => "Create model"} |