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Reverse of word list: how to generate a text attribute by repeating a value?
Hello Community,
what I am trying to do is somehow the reverse of the aggregate operator or the word list. I have an example set (document) with a nominal attribute (word) and a numerical attribute (frequency=n). I want to generate a new text attribute with the word repeated n times, separated by space.
I can't find an operator to do this. I tried generate attributes, but I can't find a mathematical expression for what I want to do. As it seems to me rather simple a process, I hope I did not miss anything posted in the community already. I searched but I couldn't find anything.
Anybody who can help me?
0
Best Answers
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BalazsBarany Administrator, Moderator, Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert Posts: 955 UnicornHi,
assuming that @rfuentealba and I interpret the problem correctly, here's an example process.<?xml version="1.0" encoding="UTF-8"?><process version="9.2.001"> <context> <input/> <output/> <macros/> </context> <operator activated="true" class="process" compatibility="9.2.001" 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="utility:create_exampleset" compatibility="9.2.001" expanded="true" height="68" name="Create ExampleSet" width="90" x="45" y="34"> <parameter key="generator_type" value="comma separated text"/> <parameter key="number_of_examples" value="100"/> <parameter key="use_stepsize" value="false"/> <list key="function_descriptions"/> <parameter key="add_id_attribute" value="false"/> <list key="numeric_series_configuration"/> <list key="date_series_configuration"/> <list key="date_series_configuration (interval)"/> <parameter key="date_format" value="yyyy-MM-dd HH:mm:ss"/> <parameter key="time_zone" value="SYSTEM"/> <parameter key="input_csv_text" value="word,freq abc,10 def,5 ghi,8"/> <parameter key="column_separator" value=","/> <parameter key="parse_all_as_nominal" value="false"/> <parameter key="decimal_point_character" value="."/> <parameter key="trim_attribute_names" value="true"/> </operator> <operator activated="true" class="extract_macro" compatibility="9.2.001" expanded="true" height="68" name="Extract Macro" width="90" x="179" y="34"> <parameter key="macro" value="maxFreq"/> <parameter key="macro_type" value="statistics"/> <parameter key="statistics" value="max"/> <parameter key="attribute_name" value="freq"/> <list key="additional_macros"/> </operator> <operator activated="true" class="generate_macro" compatibility="9.2.001" expanded="true" height="82" name="Generate Macro" width="90" x="313" y="34"> <list key="function_descriptions"> <parameter key="maxFreq" value="replaceAll(%{maxFreq}, "\\.0", "")"/> </list> </operator> <operator activated="true" class="utility:create_exampleset" compatibility="9.2.001" expanded="true" height="68" name="Create ExampleSet (2)" width="90" x="112" y="136"> <parameter key="generator_type" value="attribute functions"/> <parameter key="number_of_examples" value="%{maxFreq}"/> <parameter key="use_stepsize" value="false"/> <list key="function_descriptions"/> <parameter key="add_id_attribute" value="false"/> <list key="numeric_series_configuration"/> <list key="date_series_configuration"/> <list key="date_series_configuration (interval)"/> <parameter key="date_format" value="yyyy-MM-dd HH:mm:ss"/> <parameter key="time_zone" value="SYSTEM"/> <parameter key="column_separator" value=","/> <parameter key="parse_all_as_nominal" value="false"/> <parameter key="decimal_point_character" value="."/> <parameter key="trim_attribute_names" value="true"/> </operator> <operator activated="true" class="generate_id" compatibility="9.2.001" expanded="true" height="82" name="Generate ID" width="90" x="246" y="136"> <parameter key="create_nominal_ids" value="false"/> <parameter key="offset" value="0"/> </operator> <operator activated="true" class="cartesian_product" compatibility="9.2.001" expanded="true" height="82" name="Cartesian" width="90" x="447" y="85"> <parameter key="remove_double_attributes" value="false"/> </operator> <operator activated="true" class="filter_examples" compatibility="9.2.001" expanded="true" height="103" name="Filter Examples" width="90" x="581" y="85"> <parameter key="parameter_expression" value="id <= freq"/> <parameter key="condition_class" value="expression"/> <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="aggregate" compatibility="9.2.001" expanded="true" height="82" name="Aggregate" width="90" x="715" y="85"> <parameter key="use_default_aggregation" value="false"/> <parameter key="attribute_filter_type" value="all"/> <parameter key="attribute" value=""/> <parameter key="attributes" value=""/> <parameter key="use_except_expression" value="false"/> <parameter key="value_type" value="attribute_value"/> <parameter key="use_value_type_exception" value="false"/> <parameter key="except_value_type" value="time"/> <parameter key="block_type" value="attribute_block"/> <parameter key="use_block_type_exception" value="false"/> <parameter key="except_block_type" value="value_matrix_row_start"/> <parameter key="invert_selection" value="false"/> <parameter key="include_special_attributes" value="false"/> <parameter key="default_aggregation_function" value="average"/> <list key="aggregation_attributes"> <parameter key="word" value="concatenation"/> </list> <parameter key="group_by_attributes" value="word|freq"/> <parameter key="count_all_combinations" value="false"/> <parameter key="only_distinct" value="false"/> <parameter key="ignore_missings" value="true"/> </operator> <operator activated="true" class="replace" compatibility="9.2.001" expanded="true" height="82" name="Replace" width="90" x="849" y="85"> <parameter key="attribute_filter_type" value="single"/> <parameter key="attribute" value="concat(word)"/> <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"/> <parameter key="replace_what" value="\|"/> <parameter key="replace_by" value=" "/> </operator> <connect from_op="Create ExampleSet" from_port="output" to_op="Extract Macro" to_port="example set"/> <connect from_op="Extract Macro" from_port="example set" to_op="Generate Macro" to_port="through 1"/> <connect from_op="Generate Macro" from_port="through 1" to_op="Cartesian" to_port="left"/> <connect from_op="Create ExampleSet (2)" from_port="output" to_op="Generate ID" to_port="example set input"/> <connect from_op="Generate ID" from_port="example set output" to_op="Cartesian" to_port="right"/> <connect from_op="Cartesian" from_port="join" to_op="Filter Examples" to_port="example set input"/> <connect from_op="Filter Examples" from_port="example set output" to_op="Aggregate" to_port="example set input"/> <connect from_op="Aggregate" from_port="example set output" to_op="Replace" to_port="example set input"/> <connect from_op="Replace" from_port="example set output" 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>
The upper row generates some example data (you would put your own there). Extract Macro determines the highest number of repetitions. This creates a macro value like 10.0, so we have to change that to just 10 with Generate Macro.
The lower row generates an example set with as many rows as max(repetitions). It adds a series from 1 to max(repetitions) with Generate Id.
Then we do a cartesian join, which combines all records from both sources, repeating the words as many times as there are repetitions. With Filter Examples we only keep the items with the Id being less than or equal to the number of repetitions.
We then aggregate by word and repetitions, concatenating the word as many times as it is left after the filter.
The last operator is a Replace. The result was concatenated with pipes like this: abc|abc|abc. Here we change it to "abc abc abc" by replacing the | with a space. Feel free to change it.
This would be much easier if we had a simple "repeat" function in Generate Attributes.
We could also optimize the join by having <= based joins instead of just = based. (There's a building block for this out there.)
Regards,
Balázs9 -
lionelderkrikor RapidMiner Certified Analyst, Member Posts: 1,195 UnicornCongratulations @BalazsBarany for solving this interesting challenge !
For those who are interested, it can be solved by a simple line of code in Python...<?xml version="1.0" encoding="UTF-8"?><process version="9.5.000"> <context> <input/> <output/> <macros/> </context> <operator activated="true" class="process" compatibility="9.5.000" 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="utility:create_exampleset" compatibility="9.5.000" expanded="true" height="68" name="Create ExampleSet" width="90" x="112" y="85"> <parameter key="generator_type" value="comma separated text"/> <parameter key="number_of_examples" value="100"/> <parameter key="use_stepsize" value="false"/> <list key="function_descriptions"/> <parameter key="add_id_attribute" value="false"/> <list key="numeric_series_configuration"/> <list key="date_series_configuration"/> <list key="date_series_configuration (interval)"/> <parameter key="date_format" value="yyyy-MM-dd HH:mm:ss"/> <parameter key="time_zone" value="SYSTEM"/> <parameter key="input_csv_text" value="word,freq test,2 test_2,3 test_3,4"/> <parameter key="column_separator" value=","/> <parameter key="parse_all_as_nominal" value="false"/> <parameter key="decimal_point_character" value="."/> <parameter key="trim_attribute_names" value="true"/> </operator> <operator activated="true" class="python_scripting:execute_python" compatibility="9.3.001" expanded="true" height="103" name="Execute Python" width="90" x="313" y="85"> <parameter key="script" value="import pandas as pd # rm_main is a mandatory function, # the number of arguments has to be the number of input ports (can be none) def rm_main(data): for i in range(len(data)) : data.loc[i,'generated'] = " ".join(data.loc[i,'word'] for k in range(data.loc[i,'freq'])) return data"/> <parameter key="notebook_cell_tag_filter" value=""/> <parameter key="use_default_python" value="true"/> <parameter key="package_manager" value="conda (anaconda)"/> </operator> <connect from_op="Create ExampleSet" from_port="output" to_op="Execute Python" to_port="input 1"/> <connect from_op="Execute Python" from_port="output 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>
Regards,
Lionel
7
Answers
Lindon Ventures
Data Science Consulting from Certified RapidMiner Experts
Lindon Ventures
Data Science Consulting from Certified RapidMiner Experts
I was in an older Studio and there it worked.
You can add a dummy function in "Edit List...": attribute name = x, function expressions = 1.
Regards,
Balázs