please check input data and parameters! All my process the same issue.

342208173

any solutions pls ?

Pavithra_Rao

Hi @342208173

 

Please share sample date and process XML to help us understand more about the issue going on here.

 

Thanks,

 

342208173

<?xml version="1.0" encoding="UTF-8"?><process version="8.1.001">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="8.1.001" expanded="true" name="Process">
<process expanded="true">
<operator activated="true" class="subprocess" compatibility="8.1.001" expanded="true" height="82" name="Subprocess" width="90" x="112" y="136">
<process expanded="true">
<operator activated="true" class="retrieve" compatibility="8.1.001" expanded="true" height="68" name="Retrieve" width="90" x="45" y="34">
<parameter key="repository_entry" value="//Local Repository/data/Chicago_Crimes_2005_to_2007"/>
</operator>
<operator activated="true" class="trim" compatibility="8.1.001" expanded="true" height="82" name="Trim" width="90" x="179" y="34"/>
<operator activated="true" class="replace_missing_values" compatibility="8.1.001" expanded="true" height="103" name="Replace Missing Values" width="90" x="313" y="34">
<list key="columns"/>
</operator>
<operator activated="true" class="remove_duplicates" compatibility="8.1.001" expanded="true" height="103" name="Remove Duplicates" width="90" x="447" y="34"/>
<operator activated="true" class="select_attributes" compatibility="8.1.001" expanded="true" height="82" name="Select Attributes" width="90" x="45" y="136">
<parameter key="attribute_filter_type" value="subset"/>
<parameter key="attributes" value="Block|Community Area|Date|District|Location|Primary Type|Updated On|Year"/>
</operator>
<operator activated="true" class="set_role" compatibility="8.1.001" expanded="true" height="82" name="Set Role" width="90" x="380" y="187">
<parameter key="attribute_name" value="Primary Type"/>
<parameter key="target_role" value="label"/>
<list key="set_additional_roles"/>
</operator>
<connect from_op="Retrieve" from_port="output" to_op="Trim" to_port="example set input"/>
<connect from_op="Trim" from_port="example set output" to_op="Replace Missing Values" to_port="example set input"/>
<connect from_op="Replace Missing Values" from_port="example set output" to_op="Remove Duplicates" to_port="example set input"/>
<connect from_op="Remove Duplicates" from_port="example set output" to_op="Select Attributes" to_port="example set input"/>
<connect from_op="Select Attributes" from_port="original" to_op="Set Role" to_port="example set input"/>
<connect from_op="Set Role" from_port="example set output" to_port="out 1"/>
<portSpacing port="source_in 1" spacing="0"/>
<portSpacing port="sink_out 1" spacing="0"/>
<portSpacing port="sink_out 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="split_validation" compatibility="8.1.001" expanded="true" height="124" name="Validation" width="90" x="380" y="136">
<process expanded="true">
<operator activated="true" class="h2o:deep_learning" compatibility="7.6.001" expanded="true" height="82" name="Deep Learning" width="90" x="112" y="85">
<enumeration key="hidden_layer_sizes">
<parameter key="hidden_layer_sizes" value="50"/>
<parameter key="hidden_layer_sizes" value="50"/>
</enumeration>
<enumeration key="hidden_dropout_ratios"/>
<list key="expert_parameters"/>
<list key="expert_parameters_"/>
</operator>
<connect from_port="training" to_op="Deep Learning" to_port="training set"/>
<connect from_op="Deep Learning" 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">
<operator activated="true" class="apply_model" compatibility="8.1.001" expanded="true" height="82" name="Apply Model" width="90" x="45" y="34">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance" compatibility="8.1.001" expanded="true" height="82" name="Performance" width="90" x="179" y="34"/>
<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="Subprocess" from_port="out 1" to_op="Validation" to_port="training"/>
<connect from_op="Validation" from_port="model" to_port="result 1"/>
<connect from_op="Validation" from_port="averagable 1" to_port="result 2"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="0"/>
<portSpacing port="sink_result 3" spacing="0"/>
</process>
</operator>
</process>

 

you can find the data set here because i could not upload it. 

https://www.kaggle.com/currie32/crimes-in-chicago/data 

 

Thank you.