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@rest
Feature: Create a model and predict a dataset
As a toxicologist
I want to create a lazar model
In order to predict the toxicity of a compound
Scenario Outline:
Given Content-Type is application/x-yaml
And Accept-Type is application/x-yaml
And I post <training_data> to the dataset webservice
And I create a lazar model for <feature>
And the task is completed
And I post the test dataset <prediction_data>
And I predict the test dataset
When the task is completed
Then I should receive a valid URI
Examples:
|feature |training_data |prediction_data|
|http://localhost/toxmodel/feature#Hamster%20Carcinogenicity%20(DSSTOX/CPDB)|file: hamster_carcinogenicity.yaml|file: test.yaml|
#|http://www.epa.gov/NCCT/dsstox/CentralFieldDef.html#ActivityOutcome_CPDBAS_Hamster|file: hamster_carcinogenicity.yaml|c1ccccc1NN|true |
#|http://ambit.uni-plovdiv.bg:8080/ambit2/feature/12156|file: hamster_carcinogenicity_ambit.owl|c1ccccc1NN|true |
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