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"NullPointerException when doing logistic regression wrapped under Binary2Poly"
shruti_sinha
Member Posts: 1 Learner III
Hey!
I am working on Rapid Miner to do some analysis for my master's thesis and I am badly stuck when I try to implement logistic regression wrapped under Polynomial to Binomial Classification. My dataset has 3 classes. It has 12 attributes, 532 rows. I have specified the name(of movies) as id, and the class as Label. Except for these two, all other attributes are numeric.
When I try to run the program, I get an error as below:
SEVERE: Here: Process[1] (Process)
subprocess 'Main Process'
+- Retrieve[1] (Retrieve)
+- Validation[1] (X-Validation)
subprocess 'Training'
| +- Polynominal by Binominal Classification[1] (Polynominal by Binominal Classification)
subprocess 'Learning Process'
| +- Replace Missing Values[3] (Replace Missing Values)
| +- Logistic Regression[3] (Logistic Regression)
subprocess 'Testing'
==> +- Apply Model[1] (Apply Model)
+- Performance[0] (Performance (Classification))
Sep 21, 2013 10:53:11 PM SEVERE: java.lang.NullPointerException
My xml file is
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.2.008">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="5.2.008" expanded="true" name="Process">
<process expanded="true" height="347" width="693">
<operator activated="true" class="retrieve" compatibility="5.2.008" expanded="true" height="60" name="Retrieve" width="90" x="92" y="187">
<parameter key="repository_entry" value="//MyRepository/LR/data"/>
</operator>
<operator activated="true" class="x_validation" compatibility="5.0.000" expanded="true" height="112" name="Validation" width="90" x="380" y="165">
<description>A cross-validation evaluating a linear regression model.</description>
<process expanded="true" height="654" width="466">
<operator activated="true" class="replace_missing_values" compatibility="5.2.008" expanded="true" height="94" name="Replace Missing Values" width="90" x="45" y="30">
<list key="columns"/>
</operator>
<operator activated="true" class="polynomial_by_binomial_classification" compatibility="5.2.008" expanded="true" height="76" name="Polynominal by Binominal Classification" width="90" x="246" y="75">
<parameter key="classification_strategies" value="1 against 1"/>
<process expanded="true" height="347" width="693">
<operator activated="true" class="logistic_regression" compatibility="5.2.008" expanded="true" height="94" name="Logistic Regression" width="90" x="312" y="98">
<parameter key="kernel_type" value="polynomial"/>
</operator>
<connect from_port="training set" to_op="Logistic Regression" to_port="training set"/>
<connect from_op="Logistic Regression" from_port="model" to_port="model"/>
<portSpacing port="source_training set" spacing="0"/>
<portSpacing port="sink_model" spacing="0"/>
</process>
</operator>
<connect from_port="training" to_op="Replace Missing Values" to_port="example set input"/>
<connect from_op="Replace Missing Values" from_port="example set output" to_op="Polynominal by Binominal Classification" to_port="training set"/>
<connect from_op="Polynominal by Binominal Classification" from_port="model" to_port="model"/>
<portSpacing port="source_training" spacing="0"/>
<portSpacing port="sink_model" spacing="0"/>
<portSpacing port="sink_through 1" spacing="0"/>
</process>
<process expanded="true" height="654" width="466">
<operator activated="true" class="apply_model" compatibility="5.0.000" expanded="true" height="76" name="Apply Model" width="90" x="45" y="30">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance" compatibility="5.0.000" expanded="true" height="76" name="Performance" width="90" x="179" y="30"/>
<connect from_port="model" to_op="Apply Model" to_port="model"/>
<connect from_port="test set" to_op="Apply Model" to_port="unlabelled data"/>
<connect from_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="labelled data"/>
<connect from_op="Performance" from_port="performance" to_port="averagable 1"/>
<portSpacing port="source_model" spacing="0"/>
<portSpacing port="source_test set" spacing="0"/>
<portSpacing port="source_through 1" spacing="0"/>
<portSpacing port="sink_averagable 1" spacing="0"/>
<portSpacing port="sink_averagable 2" spacing="0"/>
</process>
</operator>
<connect from_op="Retrieve" from_port="output" to_op="Validation" to_port="training"/>
<connect from_op="Validation" from_port="averagable 1" to_port="result 1"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="0"/>
</process>
</operator>
</process>
Can you tell me where is the problem occuring?
I need urgent help. Please help me. Thanks in advance.
I am working on Rapid Miner to do some analysis for my master's thesis and I am badly stuck when I try to implement logistic regression wrapped under Polynomial to Binomial Classification. My dataset has 3 classes. It has 12 attributes, 532 rows. I have specified the name(of movies) as id, and the class as Label. Except for these two, all other attributes are numeric.
When I try to run the program, I get an error as below:
SEVERE: Here: Process[1] (Process)
subprocess 'Main Process'
+- Retrieve[1] (Retrieve)
+- Validation[1] (X-Validation)
subprocess 'Training'
| +- Polynominal by Binominal Classification[1] (Polynominal by Binominal Classification)
subprocess 'Learning Process'
| +- Replace Missing Values[3] (Replace Missing Values)
| +- Logistic Regression[3] (Logistic Regression)
subprocess 'Testing'
==> +- Apply Model[1] (Apply Model)
+- Performance[0] (Performance (Classification))
Sep 21, 2013 10:53:11 PM SEVERE: java.lang.NullPointerException
My xml file is
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.2.008">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="5.2.008" expanded="true" name="Process">
<process expanded="true" height="347" width="693">
<operator activated="true" class="retrieve" compatibility="5.2.008" expanded="true" height="60" name="Retrieve" width="90" x="92" y="187">
<parameter key="repository_entry" value="//MyRepository/LR/data"/>
</operator>
<operator activated="true" class="x_validation" compatibility="5.0.000" expanded="true" height="112" name="Validation" width="90" x="380" y="165">
<description>A cross-validation evaluating a linear regression model.</description>
<process expanded="true" height="654" width="466">
<operator activated="true" class="replace_missing_values" compatibility="5.2.008" expanded="true" height="94" name="Replace Missing Values" width="90" x="45" y="30">
<list key="columns"/>
</operator>
<operator activated="true" class="polynomial_by_binomial_classification" compatibility="5.2.008" expanded="true" height="76" name="Polynominal by Binominal Classification" width="90" x="246" y="75">
<parameter key="classification_strategies" value="1 against 1"/>
<process expanded="true" height="347" width="693">
<operator activated="true" class="logistic_regression" compatibility="5.2.008" expanded="true" height="94" name="Logistic Regression" width="90" x="312" y="98">
<parameter key="kernel_type" value="polynomial"/>
</operator>
<connect from_port="training set" to_op="Logistic Regression" to_port="training set"/>
<connect from_op="Logistic Regression" from_port="model" to_port="model"/>
<portSpacing port="source_training set" spacing="0"/>
<portSpacing port="sink_model" spacing="0"/>
</process>
</operator>
<connect from_port="training" to_op="Replace Missing Values" to_port="example set input"/>
<connect from_op="Replace Missing Values" from_port="example set output" to_op="Polynominal by Binominal Classification" to_port="training set"/>
<connect from_op="Polynominal by Binominal Classification" from_port="model" to_port="model"/>
<portSpacing port="source_training" spacing="0"/>
<portSpacing port="sink_model" spacing="0"/>
<portSpacing port="sink_through 1" spacing="0"/>
</process>
<process expanded="true" height="654" width="466">
<operator activated="true" class="apply_model" compatibility="5.0.000" expanded="true" height="76" name="Apply Model" width="90" x="45" y="30">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance" compatibility="5.0.000" expanded="true" height="76" name="Performance" width="90" x="179" y="30"/>
<connect from_port="model" to_op="Apply Model" to_port="model"/>
<connect from_port="test set" to_op="Apply Model" to_port="unlabelled data"/>
<connect from_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="labelled data"/>
<connect from_op="Performance" from_port="performance" to_port="averagable 1"/>
<portSpacing port="source_model" spacing="0"/>
<portSpacing port="source_test set" spacing="0"/>
<portSpacing port="source_through 1" spacing="0"/>
<portSpacing port="sink_averagable 1" spacing="0"/>
<portSpacing port="sink_averagable 2" spacing="0"/>
</process>
</operator>
<connect from_op="Retrieve" from_port="output" to_op="Validation" to_port="training"/>
<connect from_op="Validation" from_port="averagable 1" to_port="result 1"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="0"/>
</process>
</operator>
</process>
Can you tell me where is the problem occuring?
I need urgent help. Please help me. Thanks in advance.
Tagged:
0
Answers
can you please post the contents of the rm.log file from the user/.RapidMiner5/ folder?
Regards,
Marco