java.lang.NullPointerException during Apply Model

Hi, I'm getting java.lang.NullPointerException error when applying a Fast Large Margin model. Does anyone know how to fix this? Thanks!

ERROR MESSAGE

PROCESS XML

<?xml version="1.0" encoding="UTF-8"?><process version="10.4.003">  <context>    <input/>    <output/>    <macros/>  </context>  <operator activated="true" class="process" compatibility="10.4.003" expanded="true" name="Process">    <parameter key="logverbosity" value="init"/>    <parameter key="random_seed" value="2001"/>    <parameter key="send_mail" value="never"/>    <parameter key="notification_email" value=""/>    <parameter key="process_duration_for_mail" value="30"/>    <parameter key="encoding" value="SYSTEM"/>    <process expanded="true">      <operator activated="true" class="retrieve" compatibility="10.4.003" expanded="true" height="68" name="Retrieve HIDEMA1Scored_03.19.25_test" width="90" x="112" y="85">        <parameter key="repository_entry" value="../data/HIDEMA1Scored_03.19.25_test"/>      </operator>      <operator activated="true" class="blending:select_attributes" compatibility="10.4.003" expanded="true" height="82" name="Select Attributes" width="90" x="313" y="34">        <parameter key="type" value="exclude attributes"/>        <parameter key="attribute_filter_type" value="a subset"/>        <parameter key="select_attribute" value=""/>        <parameter key="select_subset" value="ID␞IsNotDrinking␞TDRKNM_lag_1␞TDRKNM_lag_1_missing"/>        <parameter key="also_apply_to_special_attributes_(id,_label..)" value="false"/>      </operator>      <operator activated="true" class="blending:set_role" compatibility="10.4.003" expanded="true" height="82" name="Set Role" width="90" x="447" y="34">        <list key="set_roles">          <parameter key="IsDrinking" value="label"/>        </list>      </operator>      <operator activated="true" class="multiply" compatibility="10.4.003" expanded="true" height="103" name="Multiply" width="90" x="648" y="136"/>      <operator activated="true" class="retrieve" compatibility="10.4.003" expanded="true" height="68" name="Retrieve HIDEMA1Scored_03.19.25_train" width="90" x="112" y="238">        <parameter key="repository_entry" value="../data/HIDEMA1Scored_03.19.25_train"/>      </operator>      <operator activated="true" class="blending:select_attributes" compatibility="10.4.003" expanded="true" height="82" name="Select Attributes (3)" width="90" x="313" y="238">        <parameter key="type" value="exclude attributes"/>        <parameter key="attribute_filter_type" value="a subset"/>        <parameter key="select_attribute" value=""/>        <parameter key="select_subset" value="ID␞IsNotDrinking␞TDRKNM_lag_1␞TDRKNM_lag_1_missing"/>        <parameter key="also_apply_to_special_attributes_(id,_label..)" value="false"/>      </operator>      <operator activated="true" class="blending:set_role" compatibility="10.4.003" expanded="true" height="82" name="Set Role (2)" width="90" x="447" y="238">        <list key="set_roles">          <parameter key="IsDrinking" value="label"/>        </list>      </operator>      <operator activated="true" class="retrieve" compatibility="10.4.003" expanded="true" height="68" name="Retrieve fast large margin" width="90" x="581" y="34">        <parameter key="repository_entry" value="../model/fast large margin"/>      </operator>      <operator activated="true" class="apply_model" compatibility="10.4.003" expanded="true" height="82" name="Apply Model" width="90" x="782" y="85">        <list key="application_parameters"/>      </operator>      <operator activated="true" class="performance" compatibility="10.4.003" expanded="true" height="82" name="Performance" width="90" x="916" y="34">        <parameter key="use_example_weights" value="true"/>      </operator>      <operator activated="true" class="interpretation:generate_interpretation" compatibility="0.8.000" expanded="true" height="124" name="KernelSHAP" width="90" x="916" y="136">        <parameter key="algorithm" value="KernelSHAP"/>        <parameter key="sample_size" value="100"/>        <parameter key="redraw_local_samples" value="true"/>        <parameter key="explanation_algorithm" value="Correlation"/>        <parameter key="locality" value="0.2"/>        <parameter key="maximal_explaining_attributes" value="3"/>        <parameter key="use_local_random_seed" value="true"/>        <parameter key="local_random_seed" value="1992"/>      </operator>      <connect from_op="Retrieve HIDEMA1Scored_03.19.25_test" from_port="output" to_op="Select Attributes" to_port="example set input"/>      <connect from_op="Select Attributes" from_port="example set output" to_op="Set Role" to_port="example set input"/>      <connect from_op="Set Role" from_port="example set output" to_op="Multiply" to_port="input"/>      <connect from_op="Multiply" from_port="output 1" to_op="Apply Model" to_port="unlabelled data"/>      <connect from_op="Multiply" from_port="output 2" to_op="KernelSHAP" to_port="test"/>      <connect from_op="Retrieve HIDEMA1Scored_03.19.25_train" from_port="output" to_op="Select Attributes (3)" to_port="example set input"/>      <connect from_op="Select Attributes (3)" from_port="example set output" to_op="Set Role (2)" to_port="example set input"/>      <connect from_op="Set Role (2)" from_port="example set output" to_op="KernelSHAP" to_port="training"/>      <connect from_op="Retrieve fast large margin" from_port="output" to_op="Apply Model" to_port="model"/>      <connect from_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="labelled data"/>      <connect from_op="Apply Model" from_port="model" to_op="KernelSHAP" to_port="mod"/>      <connect from_op="Performance" from_port="performance" to_port="result 1"/>      <connect from_op="KernelSHAP" from_port="importance" to_port="result 2"/>      <connect from_op="KernelSHAP" from_port="global weights" to_port="result 3"/>      <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"/>      <portSpacing port="sink_result 4" spacing="0"/>    </process>  </operator></process>