Set Role Operator - attribute missing in input example set
creditz
New Altair Community Member
Hello,
New to RapidMiner. I am following the process described in the "Automatic Classification of Documents" tutorial (can't post links yet but it's in RapidMiner Academy). When it gets to the Set Role operator, I get an error message where it says the attribute is missing in the input dataset (Image 1). However when looking at the input ExampleSet, the attribute in question seems to be present (Image 2). Plus, it is present as a choice within the Set Role operator dialog box (Image 3). Also including the full error message (Image 4).
I see a similar question here but I don't understand how to apply it in my case and it is quite old - based on the response if this is a bug it would be supposed to be fixed by now? (again, can't post links but the post is called "Set Role operator returning attribute does not exist [SOLVED]")
See below for screenshots and XML. Thanks in advance for any guidance.
OS: Mac OS Big Sur (11.7.4)
RapidMiner version: 10.1.002
Executing in: RapidMiner Studio
Dataset has 2 attributes, 395 examples.
Image 1:
Image 2:
Image 3:
Image 4:
New to RapidMiner. I am following the process described in the "Automatic Classification of Documents" tutorial (can't post links yet but it's in RapidMiner Academy). When it gets to the Set Role operator, I get an error message where it says the attribute is missing in the input dataset (Image 1). However when looking at the input ExampleSet, the attribute in question seems to be present (Image 2). Plus, it is present as a choice within the Set Role operator dialog box (Image 3). Also including the full error message (Image 4).
I see a similar question here but I don't understand how to apply it in my case and it is quite old - based on the response if this is a bug it would be supposed to be fixed by now? (again, can't post links but the post is called "Set Role operator returning attribute does not exist [SOLVED]")
See below for screenshots and XML. Thanks in advance for any guidance.
OS: Mac OS Big Sur (11.7.4)
RapidMiner version: 10.1.002
Executing in: RapidMiner Studio
Dataset has 2 attributes, 395 examples.
Image 1:
Image 2:
Image 3:
<?xml version="1.0" encoding="UTF-8"?><process version="10.1.002">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="10.1.002" 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="read_excel" compatibility="10.1.002" expanded="true" height="68" name="Read Excel" width="90" x="45" y="34">
<parameter key="excel_file" value="/Users/jodikalubi/Documents/Academic/_RESEARCH/_APPLE Schools/Cultural Adaptations/Deduplication/Training sample with framework_RapidMiner ANALYSIS_Jul 10.xlsx"/>
<parameter key="sheet_selection" value="sheet number"/>
<parameter key="sheet_number" value="1"/>
<parameter key="imported_cell_range" value="A1"/>
<parameter key="encoding" value="SYSTEM"/>
<parameter key="first_row_as_names" value="true"/>
<list key="annotations"/>
<parameter key="date_format" value=""/>
<parameter key="time_zone" value="SYSTEM"/>
<parameter key="locale" value="English (United States)"/>
<parameter key="read_all_values_as_polynominal" value="false"/>
<list key="data_set_meta_data_information">
<parameter key="0" value="Code.true.polynominal.label"/>
<parameter key="1" value="Activity.true.polynominal.attribute"/>
</list>
<parameter key="read_not_matching_values_as_missings" value="false"/>
</operator>
<operator activated="true" class="nominal_to_text" compatibility="10.1.002" expanded="true" height="82" name="Nominal to Text" width="90" x="179" y="34">
<parameter key="attribute_filter_type" value="single"/>
<parameter key="attribute" value="Activity"/>
<parameter key="attributes" value=""/>
<parameter key="use_except_expression" value="false"/>
<parameter key="value_type" value="nominal"/>
<parameter key="use_value_type_exception" value="false"/>
<parameter key="except_value_type" value="file_path"/>
<parameter key="block_type" value="single_value"/>
<parameter key="use_block_type_exception" value="false"/>
<parameter key="except_block_type" value="single_value"/>
<parameter key="invert_selection" value="false"/>
<parameter key="include_special_attributes" value="false"/>
</operator>
<operator activated="true" class="filter_examples" compatibility="10.1.002" expanded="true" height="103" name="Filter Examples" width="90" x="313" y="34">
<parameter key="parameter_expression" value=""/>
<parameter key="condition_class" value="custom_filters"/>
<parameter key="invert_filter" value="false"/>
<list key="filters_list"/>
<parameter key="filters_logic_and" value="true"/>
<parameter key="filters_check_metadata" value="true"/>
</operator>
<operator activated="true" class="text:process_document_from_data" compatibility="10.0.000" expanded="true" height="82" name="Process Documents from Data" width="90" x="179" y="238">
<parameter key="create_word_vector" value="true"/>
<parameter key="vector_creation" value="TF-IDF"/>
<parameter key="add_meta_information" value="true"/>
<parameter key="keep_text" value="true"/>
<parameter key="prune_method" value="absolute"/>
<parameter key="prune_below_percent" value="3.0"/>
<parameter key="prune_above_percent" value="30.0"/>
<parameter key="prune_below_absolute" value="2"/>
<parameter key="prune_above_absolute" value="9999"/>
<parameter key="prune_below_rank" value="0.05"/>
<parameter key="prune_above_rank" value="0.95"/>
<parameter key="datamanagement" value="double_sparse_array"/>
<parameter key="data_management" value="auto"/>
<parameter key="select_attributes_and_weights" value="false"/>
<list key="specify_weights"/>
<process expanded="true">
<operator activated="true" class="web:extract_html_text_content" compatibility="10.0.000" expanded="true" height="68" name="Extract Content" width="90" x="45" y="34">
<parameter key="extract_content" value="true"/>
<parameter key="minimum_text_block_length" value="3"/>
<parameter key="override_content_type_information" value="true"/>
<parameter key="neglegt_span_tags" value="true"/>
<parameter key="neglect_p_tags" value="true"/>
<parameter key="neglect_b_tags" value="true"/>
<parameter key="neglect_i_tags" value="true"/>
<parameter key="neglect_br_tags" value="true"/>
<parameter key="ignore_non_html_tags" value="true"/>
</operator>
<operator activated="true" class="text:transform_cases" compatibility="10.0.000" expanded="true" height="68" name="Transform Cases" width="90" x="179" y="34">
<parameter key="transform_to" value="lower case"/>
</operator>
<operator activated="true" class="text:replace_tokens" compatibility="10.0.000" expanded="true" height="68" name="Replace Tokens" width="90" x="313" y="34">
<list key="replace_dictionary">
<parameter key="Not provided" value="NP"/>
</list>
</operator>
<operator activated="true" class="text:tokenize" compatibility="10.0.000" expanded="true" height="68" name="Tokenize" width="90" x="447" y="34">
<parameter key="mode" value="non letters"/>
<parameter key="characters" value=".:"/>
<parameter key="language" value="English"/>
<parameter key="max_token_length" value="3"/>
</operator>
<operator activated="true" class="text:filter_stopwords_english" compatibility="10.0.000" expanded="true" height="68" name="Filter Stopwords (English)" width="90" x="581" y="34"/>
<operator activated="true" class="text:stem_snowball" compatibility="10.0.000" expanded="true" height="68" name="Stem (Snowball)" width="90" x="246" y="136">
<parameter key="language" value="English"/>
</operator>
<operator activated="true" class="text:filter_by_length" compatibility="10.0.000" expanded="true" height="68" name="Filter Tokens (by Length)" width="90" x="380" y="136">
<parameter key="min_chars" value="2"/>
<parameter key="max_chars" value="999"/>
</operator>
<connect from_port="document" to_op="Extract Content" to_port="document"/>
<connect from_op="Extract Content" from_port="document" to_op="Transform Cases" to_port="document"/>
<connect from_op="Transform Cases" from_port="document" to_op="Replace Tokens" to_port="document"/>
<connect from_op="Replace Tokens" from_port="document" to_op="Tokenize" to_port="document"/>
<connect from_op="Tokenize" from_port="document" to_op="Filter Stopwords (English)" to_port="document"/>
<connect from_op="Filter Stopwords (English)" from_port="document" to_op="Stem (Snowball)" to_port="document"/>
<connect from_op="Stem (Snowball)" from_port="document" to_op="Filter Tokens (by Length)" to_port="document"/>
<connect from_op="Filter Tokens (by Length)" from_port="document" to_port="document 1"/>
<portSpacing port="source_document" spacing="0"/>
<portSpacing port="sink_document 1" spacing="0"/>
<portSpacing port="sink_document 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="blending:select_attributes" compatibility="10.1.002" expanded="true" height="82" name="Select Attributes" width="90" x="313" y="238">
<parameter key="type" value="include attributes"/>
<parameter key="attribute_filter_type" value="a subset"/>
<parameter key="select_attribute" value="Code"/>
<parameter key="select_subset" value="␞Code␞text"/>
<parameter key="also_apply_to_special_attributes_(id,_label..)" value="true"/>
</operator>
<operator activated="true" class="blending:set_role" compatibility="10.1.002" expanded="true" height="82" name="Set Role" width="90" x="447" y="238">
<list key="set_roles">
<parameter key="Code" value="label"/>
<parameter key="text" value="regular"/>
</list>
</operator>
<operator activated="true" class="concurrency:cross_validation" compatibility="10.1.002" expanded="true" height="145" name="Cross Validation" width="90" x="581" y="85">
<parameter key="split_on_batch_attribute" value="false"/>
<parameter key="leave_one_out" value="false"/>
<parameter key="number_of_folds" value="5"/>
<parameter key="sampling_type" value="stratified sampling"/>
<parameter key="use_local_random_seed" value="false"/>
<parameter key="local_random_seed" value="1992"/>
<parameter key="enable_parallel_execution" value="true"/>
<process expanded="true">
<operator activated="true" class="k_nn" compatibility="10.1.002" expanded="true" height="82" name="k-NN" width="90" x="112" y="34">
<parameter key="k" value="3"/>
<parameter key="weighted_vote" value="true"/>
<parameter key="measure_types" value="NumericalMeasures"/>
<parameter key="mixed_measure" value="MixedEuclideanDistance"/>
<parameter key="nominal_measure" value="NominalDistance"/>
<parameter key="numerical_measure" value="CosineSimilarity"/>
<parameter key="divergence" value="GeneralizedIDivergence"/>
<parameter key="kernel_type" value="radial"/>
<parameter key="kernel_gamma" value="1.0"/>
<parameter key="kernel_sigma1" value="1.0"/>
<parameter key="kernel_sigma2" value="0.0"/>
<parameter key="kernel_sigma3" value="2.0"/>
<parameter key="kernel_degree" value="3.0"/>
<parameter key="kernel_shift" value="1.0"/>
<parameter key="kernel_a" value="1.0"/>
<parameter key="kernel_b" value="0.0"/>
</operator>
<connect from_port="training set" to_op="k-NN" to_port="training set"/>
<connect from_op="k-NN" from_port="model" to_port="model"/>
<portSpacing port="source_training set" 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="10.1.002" expanded="true" height="82" name="Apply Model" width="90" x="45" y="34">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance" compatibility="10.1.002" expanded="true" height="82" name="Performance" width="90" x="179" y="34">
<parameter key="use_example_weights" value="true"/>
</operator>
<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="performance 1"/>
<portSpacing port="source_model" spacing="0"/>
<portSpacing port="source_test set" spacing="0"/>
<portSpacing port="source_through 1" spacing="0"/>
<portSpacing port="sink_test set results" spacing="0"/>
<portSpacing port="sink_performance 1" spacing="0"/>
<portSpacing port="sink_performance 2" spacing="0"/>
</process>
</operator>
<connect from_op="Read Excel" from_port="output" to_op="Nominal to Text" to_port="example set input"/>
<connect from_op="Nominal to Text" from_port="example set output" to_op="Filter Examples" to_port="example set input"/>
<connect from_op="Filter Examples" from_port="example set output" to_op="Process Documents from Data" to_port="example set"/>
<connect from_op="Process Documents from Data" from_port="example set" 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="Cross Validation" to_port="example set"/>
<connect from_op="Cross Validation" from_port="model" to_port="result 1"/>
<connect from_op="Cross Validation" from_port="example set" to_port="result 2"/>
<connect from_op="Cross Validation" from_port="performance 1" 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>
0
Best Answer
-
Hi @creditz
Try bypassing or skipping your Filter Examples operator. It's difficult to be certain without your data, but it looks like you are filtering out all of your data. Make sure you have data going into the Set Role operator. If that doesn't work, see if you can provide a sample of the data you are using.
Best,
Jeff0
Altair EmployeeAnswers
-
Hi @creditz
Try bypassing or skipping your Filter Examples operator. It's difficult to be certain without your data, but it looks like you are filtering out all of your data. Make sure you have data going into the Set Role operator. If that doesn't work, see if you can provide a sample of the data you are using.
Best,
Jeff0