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round real values to integer
Newbie
Hey Miners 
i have made a process where i am fillling in values in an example set using the impute missing values operator and the kNN-Algorithm. The new Values fit very well to my exmple set, but they are all up to the 3rd place after the comma.
Some values have to bee as an Integer. So is there any operator or function i can use to round my values. i have been trying the Generate Attributes operator, but this wasnt turning my values into roundet one, it generated new values.
Hope this question isnt too common.
regards Niklas
i have made a process where i am fillling in values in an example set using the impute missing values operator and the kNN-Algorithm. The new Values fit very well to my exmple set, but they are all up to the 3rd place after the comma.
Some values have to bee as an Integer. So is there any operator or function i can use to round my values. i have been trying the Generate Attributes operator, but this wasnt turning my values into roundet one, it generated new values.
Hope this question isnt too common.
regards Niklas
0
Answers
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="9.8.001" 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="generate_data" compatibility="9.8.001" expanded="true" height="68" name="Generate Data" width="90" x="246" y="136">
<parameter key="target_function" value="random"/>
<parameter key="number_examples" value="100"/>
<parameter key="number_of_attributes" value="5"/>
<parameter key="attributes_lower_bound" value="-10.0"/>
<parameter key="attributes_upper_bound" value="10.0"/>
<parameter key="gaussian_standard_deviation" value="10.0"/>
<parameter key="largest_radius" value="10.0"/>
<parameter key="use_local_random_seed" value="false"/>
<parameter key="local_random_seed" value="1992"/>
<parameter key="datamanagement" value="double_array"/>
<parameter key="data_management" value="auto"/>
</operator>
<operator activated="true" class="generate_attributes" compatibility="9.8.001" expanded="true" height="82" name="Generate Attributes" width="90" x="447" y="136">
<list key="function_descriptions">
<parameter key="att1" value="if(rand()>0.1,round(att1),MISSING_NUMERIC)"/>
</list>
<parameter key="keep_all" value="true"/>
<description align="center" color="transparent" colored="false" width="126">Create Some missings</description>
</operator>
<operator activated="true" class="impute_missing_values" compatibility="9.8.001" expanded="true" height="68" name="Impute Missing Values" width="90" x="581" y="136">
<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="iterate" value="true"/>
<parameter key="learn_on_complete_cases" value="true"/>
<parameter key="order" value="chronological"/>
<parameter key="sort" value="ascending"/>
<parameter key="use_local_random_seed" value="false"/>
<parameter key="local_random_seed" value="1992"/>
<process expanded="true">
<operator activated="true" class="k_nn" compatibility="9.8.001" expanded="true" height="82" name="k-NN" width="90" x="246" y="34">
<parameter key="k" value="5"/>
<parameter key="weighted_vote" value="true"/>
<parameter key="measure_types" value="MixedMeasures"/>
<parameter key="mixed_measure" value="MixedEuclideanDistance"/>
<parameter key="nominal_measure" value="NominalDistance"/>
<parameter key="numerical_measure" value="EuclideanDistance"/>
<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="example set source" to_op="k-NN" to_port="training set"/>
<connect from_op="k-NN" from_port="model" to_port="model sink"/>
<portSpacing port="source_example set source" spacing="0"/>
<portSpacing port="sink_model sink" spacing="0"/>
</process>
</operator>
<operator activated="true" class="generate_attributes" compatibility="9.8.001" expanded="true" height="82" name="Generate Attributes (2)" width="90" x="782" y="136">
<list key="function_descriptions">
<parameter key="att1" value="round(att1)"/>
</list>
<parameter key="keep_all" value="true"/>
<description align="center" color="transparent" colored="false" width="126">round everything</description>
</operator>
<connect from_op="Generate Data" from_port="output" to_op="Generate Attributes" to_port="example set input"/>
<connect from_op="Generate Attributes" from_port="example set output" to_op="Impute Missing Values" to_port="example set in"/>
<connect from_op="Impute Missing Values" from_port="example set out" to_op="Generate Attributes (2)" to_port="example set input"/>
<connect from_op="Generate Attributes (2)" 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>
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