Hi all.
I am using the RapidMiner to do Task Inference in my Master tesis. After some tests with different data, occured a strange error.
First I will describe my scenario.
XML:
<operator name="Root" class="Process" expanded="yes">
<operator name="DatabaseExampleSource" class="DatabaseExampleSource">
<parameter key="database_system" value="PostgreSQL"/>
<parameter key="database_url" value="jdbc:postgresql://parara:5432/exehda"/>
<parameter key="username" value="marcos"/>
<parameter key="password" value="vBwyakUxtRE="/>
<parameter key="query" value="SELECT t.name as task,h.sector, h.time_frame, h.main_device, sec.info, sec.type FROM exehda_history h left join exehda_history_sec_ctx sec on sec.id_history=h.id join exehda_task t on h.id_task = t.id where h.id_user = 1"/>
<parameter key="label_attribute" value="task"/>
<parameter key="datamanagement" value="double_sparse_array"/>
</operator>
<operator name="DecisionTree" class="DecisionTree">
<parameter key="criterion" value="information_gain"/>
<parameter key="minimal_size_for_split" value="5"/>
<parameter key="minimal_leaf_size" value="3"/>
<parameter key="minimal_gain" value="0.2"/>
<parameter key="number_of_prepruning_alternatives" value="2"/>
<parameter key="no_pre_pruning" value="true"/>
<parameter key="no_pruning" value="true"/>
</operator>
</operator>
My data:
AtendimentoPaciente clinica 43 desktop (null) (null)
AtendimentoPaciente clinica 42 desktop (null) (null)
AtendimentoPaciente clinica 42 desktop (null) (null)
AtendimentoPaciente clinica 41 desktop (null) (null)
AtendimentoPaciente clinica 41 desktop (null) (null)
AtendimentoPaciente clinica 40 desktop (null) (null)
AtendimentoPaciente clinica 40 desktop (null) (null)
Cirurgia clinica 45 desktop (null) (null)
When I run this proccess, I got the error:
java.lang.ArrayIndexOutOfBoundsException: 0
at com.rapidminer.operator.learner.tree.InfoGainCriterion.getBenefit(InfoGainCriterion.java:66)
at com.rapidminer.operator.learner.tree.InfoGainCriterion.getNominalBenefit(InfoGainCriterion.java:56)
at com.rapidminer.operator.learner.tree.TreeBuilder.calculateBenefit(TreeBuilder.java:108)
at com.rapidminer.operator.learner.tree.TreeBuilder.calculateAllBenefits(TreeBuilder.java:134)
at com.rapidminer.operator.learner.tree.TreeBuilder.buildTree(TreeBuilder.java:157)
at com.rapidminer.operator.learner.tree.TreeBuilder.learnTree(TreeBuilder.java:93)
at com.rapidminer.operator.learner.tree.AbstractTreeLearner.learn(AbstractTreeLearner.java:109)
at com.rapidminer.operator.learner.AbstractLearner.apply(AbstractLearner.java:88)
at com.rapidminer.operator.Operator.apply(Operator.java:671)
at com.rapidminer.operator.OperatorChain.apply(OperatorChain.java:424)
at com.rapidminer.operator.Operator.apply(Operator.java:671)
at com.rapidminer.Process.run(Process.java:735)
at com.rapidminer.Process.run(Process.java:704)
at com.rapidminer.Process.run(Process.java:694)
at com.rapidminer.gui.ProcessThread.run(ProcessThread.java:59)
If the data is generated randomically, this don't happen. Some suggestion ?
