A RESTful service for Decision Tree implementation 'rpart' in R.
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Compile and create WAR file:
- Open Terminal and go to dt-service folder
- Run mvn clean package
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Copy the WAR file from dt-service/target/ to webapps folder of Tomcat
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Start the Tomcat server
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To train and create a Decision Tree model:
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Send a POST request with payload as contents of the training data in CSV format to
http://host-name:port/dt-service/api/dt/train
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By default, the last column is assumed to contain the class labels
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To specify column-number of class labels, add classColumnNumber parameter:
http://host-name:port/dt-service/api/dt/train?classColumnNumber=column-number
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The response will contain a summary of the training phase and the name of the created model at its bottom
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Note down the model name (which starts with 'DT' and ends with 'model')
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To test a model:
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Send a POST request with payload as contents of the testing data in CSV format to
http://host-name:port/dt-service/api/dt/test?modelName=model-name
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To specify column-number of class labels, add classColumnNumber parameter:
http://host-name:port/dt-service/api/dt/test?modelName=model-name&classColumnNumber=column-number
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By default, the output of the testing phase is a confusion matrix
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To specify the output type of the testing phase, add outputType parameter:
- http://host-name:port/dt-service/api/dt/test?modelName=model-name&outputType=confusion_matrix
- http://host-name:port/dt-service/api/dt/test?modelName=model-name&outputType=predictions
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