Loop for multiple date rows

sunnyal
New Altair Community Member
How do we generate multiple values of a generated single attribute. I was able to generate future date of 4 rows, but what i needed is a 4 rows of different dates as depicted below.
Row No | Date | Usage |
1 | Jun 15 2017 | 0.623381 |
2 | Jun 16 2017 | 0.863356 |
3 | Jun 17 2017 | 0.564621 |
4 | Jun 18 2017 | 0.068763 |
Attached my process
Tagged:
0
Answers
-
There is a macro in the process called "futuerDates" (misspelled) that is set to 4. When you loop, you set the iteration to "futuerDates" so it does it only 4 times. If you want more, increase that value.
0 -
Oops my bad, you said you need different dates. Look at this process
<?xml version="1.0" encoding="UTF-8"?><process version="7.5.001">
<context>
<input/>
<output/>
<macros>
<macro>
<key>horizon</key>
<value>2</value>
</macro>
<macro>
<key>symbol</key>
<value>GPRO</value>
</macro>
<macro>
<key>start_date</key>
<value>2017-01-01</value>
</macro>
<macro>
<key>end_date</key>
<value>2017-05-01</value>
</macro>
<macro>
<key>window_size</key>
<value>1</value>
</macro>
</macros>
</context>
<operator activated="true" class="process" compatibility="6.0.002" expanded="true" name="Process">
<parameter key="encoding" value="SYSTEM"/>
<process expanded="true">
<operator activated="true" class="open_file" compatibility="7.5.001" expanded="true" height="68" name="Open File" width="90" x="45" y="34">
<parameter key="resource_type" value="URL"/>
<parameter key="url" value="http://www.google.com/finance/historical?q=NASDAQ:%{symbol}&amp;ei=Ylb_WOBdzbmZAcqZn9AG&amp;output=csv"/>
</operator>
<operator activated="true" class="read_csv" compatibility="7.5.001" expanded="true" height="68" name="Read CSV" width="90" x="45" y="136">
<parameter key="csv_file" value="C:\Users\THOMAS~1\AppData\Local\Temp\rm_file_2048734474644171292.dump"/>
<parameter key="column_separators" value=","/>
<parameter key="first_row_as_names" value="false"/>
<list key="annotations">
<parameter key="0" value="Name"/>
</list>
<list key="data_set_meta_data_information">
<parameter key="0" value="Date.true.polynominal.attribute"/>
<parameter key="1" value="Open.false.real.attribute"/>
<parameter key="2" value="High.false.real.attribute"/>
<parameter key="3" value="Low.false.real.attribute"/>
<parameter key="4" value="Close.true.real.attribute"/>
<parameter key="5" value="Volume.false.integer.attribute"/>
</list>
</operator>
<operator activated="true" class="nominal_to_date" compatibility="7.5.001" expanded="true" height="82" name="Nominal to Date" width="90" x="179" y="34">
<parameter key="attribute_name" value="Date"/>
<parameter key="date_format" value="dd-MMM-yy"/>
</operator>
<operator activated="true" class="set_role" compatibility="7.5.001" expanded="true" height="82" name="Set Role" width="90" x="179" y="136">
<parameter key="attribute_name" value="Date"/>
<parameter key="target_role" value="id"/>
<list key="set_additional_roles"/>
</operator>
<operator activated="false" class="rename" compatibility="7.5.001" expanded="true" height="82" name="Rename" width="90" x="45" y="289">
<parameter key="old_name" value="%{symbol}_CLOSE"/>
<parameter key="new_name" value="Close"/>
<list key="rename_additional_attributes"/>
</operator>
<operator activated="true" class="select_attributes" compatibility="7.5.001" expanded="true" height="82" name="Select Attributes" width="90" x="179" y="238">
<parameter key="attribute_filter_type" value="subset"/>
<parameter key="attributes" value="Close|Date"/>
</operator>
<operator activated="true" class="filter_examples" compatibility="6.4.000" expanded="true" height="103" name="Filter Examples" width="90" x="179" y="340">
<parameter key="condition_class" value="no_missing_attributes"/>
<list key="filters_list"/>
</operator>
<operator activated="true" class="multiply" compatibility="7.5.001" expanded="true" height="82" name="Multiply" width="90" x="179" y="442"/>
<operator activated="true" class="series:windowing" compatibility="7.4.000" expanded="true" height="82" name="Windowing" width="90" x="380" y="34">
<parameter key="window_size" value="%{window_size}"/>
<parameter key="create_label" value="true"/>
<parameter key="label_attribute" value="Close"/>
<parameter key="horizon" value="%{horizon}"/>
</operator>
<operator activated="false" class="optimize_parameters_grid" compatibility="7.5.001" expanded="true" height="124" name="Optimize Parameters (Grid)" width="90" x="514" y="187">
<list key="parameters">
<parameter key="SVM.kernel_gamma" value="[0.0001;1000;5;logarithmic]"/>
<parameter key="SVM.C" value="[1;10000;5;logarithmic]"/>
<parameter key="Validation.training_window_width" value="[4;10;3;linear]"/>
<parameter key="Validation.test_window_width" value="[4;10;3;linear]"/>
</list>
<process expanded="true">
<operator activated="true" class="series:sliding_window_validation" compatibility="7.4.000" expanded="true" height="124" name="Validation" width="90" x="112" y="34">
<parameter key="training_window_width" value="4"/>
<parameter key="training_window_step_size" value="1"/>
<parameter key="test_window_width" value="4"/>
<parameter key="horizon" value="%{horizon}"/>
<process expanded="true">
<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="7.5.001" expanded="true" height="82" name="Apply Model (2)" width="90" x="45" y="34">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="series:forecasting_performance" compatibility="7.4.000" expanded="true" height="82" name="Performance" width="90" x="246" y="34">
<parameter key="horizon" value="%{horizon}"/>
<parameter key="main_criterion" value="prediction_trend_accuracy"/>
<parameter key="prediction_trend_accuracy" value="false"/>
</operator>
<connect from_port="model" to_op="Apply Model (2)" to_port="model"/>
<connect from_port="test set" to_op="Apply Model (2)" to_port="unlabelled data"/>
<connect from_op="Apply Model (2)" 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>
<operator activated="true" class="log" compatibility="7.5.001" expanded="true" height="82" name="Log" width="90" x="313" y="136">
<parameter key="filename" value="tmp"/>
<list key="log">
<parameter key="Gamma" value="operator.SVM.parameter.kernel_gamma"/>
<parameter key="C" value="operator.SVM.parameter.C"/>
<parameter key="Training Width" value="operator.Validation.parameter.training_window_width"/>
<parameter key="Testing Width" value="operator.Validation.parameter.test_window_width"/>
<parameter key="Forecast Perf" value="operator.Validation.value.performance"/>
</list>
<parameter key="sorting_type" value="top-k"/>
<parameter key="sorting_dimension" value="Forecast Perf"/>
<parameter key="sorting_k" value="10"/>
<parameter key="persistent" value="true"/>
</operator>
<connect from_port="input 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_op="Log" to_port="through 1"/>
<connect from_op="Log" from_port="through 1" to_port="performance"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="source_input 2" spacing="0"/>
<portSpacing port="sink_performance" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="series:windowing" compatibility="7.4.000" expanded="true" height="82" name="Windowing (2)" width="90" x="380" y="136">
<parameter key="window_size" value="%{window_size}"/>
<parameter key="label_attribute" value="Close"/>
</operator>
<operator activated="true" class="extract_macro" compatibility="7.5.001" expanded="true" height="68" name="Extract Macro" width="90" x="380" y="238">
<parameter key="macro" value="n_examples"/>
<list key="additional_macros"/>
</operator>
<operator activated="true" class="generate_macro" compatibility="7.5.001" expanded="true" height="82" name="Generate Macro" width="90" x="380" y="340">
<list key="function_descriptions">
<parameter key="filter_range" value="eval(%{n_examples})-1"/>
</list>
</operator>
<operator activated="true" class="sort" compatibility="7.5.001" expanded="true" height="82" name="Sort (2)" width="90" x="380" y="442">
<parameter key="attribute_name" value="Date"/>
</operator>
<operator activated="true" class="filter_example_range" compatibility="7.5.001" expanded="true" height="82" name="Filter Example Range" width="90" x="514" y="442">
<parameter key="first_example" value="1"/>
<parameter key="last_example" value="%{filter_range}"/>
<parameter key="invert_filter" value="true"/>
</operator>
<operator activated="true" class="remember" compatibility="7.5.001" expanded="true" height="68" name="Remember" width="90" x="648" y="442">
<parameter key="name" value="LastRow"/>
</operator>
<operator activated="true" class="series:sliding_window_validation" compatibility="7.4.000" expanded="true" height="124" name="Deep Learning Window" width="90" x="514" y="34">
<parameter key="training_window_width" value="8"/>
<parameter key="training_window_step_size" value="1"/>
<parameter key="test_window_width" value="8"/>
<parameter key="horizon" value="%{horizon}"/>
<process expanded="true">
<operator activated="false" class="h2o:deep_learning" compatibility="7.5.000" expanded="true" height="82" name="Deep Learning" width="90" x="238" y="34">
<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>
<operator activated="true" class="support_vector_machine" compatibility="7.5.001" expanded="true" height="124" name="SVM" width="90" x="246" y="136">
<parameter key="kernel_type" value="radial"/>
<parameter key="kernel_gamma" value="0.1"/>
<parameter key="C" value="100.0"/>
</operator>
<connect from_port="training" to_op="SVM" to_port="training set"/>
<connect from_op="SVM" 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="7.5.001" expanded="true" height="82" name="Apply Model (3)" width="90" x="45" y="34">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="series:forecasting_performance" compatibility="7.4.000" expanded="true" height="82" name="Performance (2)" width="90" x="246" y="34">
<parameter key="horizon" value="%{horizon}"/>
<parameter key="main_criterion" value="prediction_trend_accuracy"/>
</operator>
<connect from_port="model" to_op="Apply Model (3)" to_port="model"/>
<connect from_port="test set" to_op="Apply Model (3)" to_port="unlabelled data"/>
<connect from_op="Apply Model (3)" from_port="labelled data" to_op="Performance (2)" to_port="labelled data"/>
<connect from_op="Performance (2)" 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>
<operator activated="true" class="loop" compatibility="7.5.001" expanded="true" height="82" name="Loop" width="90" x="648" y="34">
<parameter key="set_iteration_macro" value="true"/>
<parameter key="macro_name" value="loop_forecasts"/>
<parameter key="iterations" value="%{horizon}"/>
<process expanded="true">
<operator activated="true" class="recall" compatibility="7.5.001" expanded="true" height="68" name="Recall" width="90" x="45" y="85">
<parameter key="name" value="LastRow"/>
<parameter key="remove_from_store" value="false"/>
</operator>
<operator activated="true" class="apply_model" compatibility="7.1.001" expanded="true" height="82" name="Apply Model" width="90" x="246" y="34">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="generate_attributes" compatibility="7.5.001" expanded="true" height="82" name="Generate Attributes" width="90" x="380" y="34">
<list key="function_descriptions">
<parameter key="Date" value="date_add(Date,eval(%{loop_forecasts}),DATE_UNIT_DAY)"/>
</list>
</operator>
<operator activated="true" class="set_role" compatibility="5.3.013" expanded="true" height="82" name="Set Role (2)" width="90" x="514" y="34">
<parameter key="attribute_name" value="prediction(label)"/>
<list key="set_additional_roles"/>
</operator>
<operator activated="true" class="select_attributes" compatibility="7.5.001" expanded="true" height="82" name="Select Attributes (3)" width="90" x="648" y="34">
<parameter key="attribute_filter_type" value="single"/>
<parameter key="attribute" value="prediction(label)"/>
</operator>
<operator activated="true" class="replace" compatibility="7.5.001" expanded="true" height="82" name="Replace" width="90" x="782" y="34">
<parameter key="replace_what" value="Close"/>
<parameter key="replace_by" value="$1-"/>
</operator>
<operator activated="true" class="rename" compatibility="7.5.001" expanded="true" height="82" name="Rename (2)" width="90" x="916" y="34">
<parameter key="old_name" value="prediction(label)"/>
<parameter key="new_name" value="Close"/>
<list key="rename_additional_attributes"/>
</operator>
<operator activated="true" class="materialize_data" compatibility="7.5.001" expanded="true" height="82" name="Materialize Data (2)" width="90" x="1050" y="34"/>
<connect from_port="input 1" to_op="Apply Model" to_port="model"/>
<connect from_op="Recall" from_port="result" to_op="Apply Model" to_port="unlabelled data"/>
<connect from_op="Apply Model" from_port="labelled data" to_op="Generate Attributes" to_port="example set input"/>
<connect from_op="Generate Attributes" 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="Select Attributes (3)" to_port="example set input"/>
<connect from_op="Select Attributes (3)" from_port="example set output" to_op="Replace" to_port="example set input"/>
<connect from_op="Replace" from_port="example set output" to_op="Rename (2)" to_port="example set input"/>
<connect from_op="Rename (2)" from_port="example set output" to_op="Materialize Data (2)" to_port="example set input"/>
<connect from_op="Materialize Data (2)" from_port="example set output" to_port="output 1"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="source_input 2" spacing="0"/>
<portSpacing port="sink_output 1" spacing="0"/>
<portSpacing port="sink_output 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="append" compatibility="7.5.001" expanded="true" height="82" name="Append" width="90" x="782" y="34"/>
<operator activated="true" class="sort" compatibility="7.5.001" expanded="true" height="82" name="Sort" width="90" x="916" y="34">
<parameter key="attribute_name" value="Date"/>
</operator>
<connect from_op="Open File" from_port="file" to_op="Read CSV" to_port="file"/>
<connect from_op="Read CSV" from_port="output" to_op="Nominal to Date" to_port="example set input"/>
<connect from_op="Nominal to Date" 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="Select Attributes" to_port="example set input"/>
<connect from_op="Select Attributes" 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="Multiply" to_port="input"/>
<connect from_op="Multiply" from_port="output 1" to_op="Windowing" to_port="example set input"/>
<connect from_op="Windowing" from_port="example set output" to_op="Deep Learning Window" to_port="training"/>
<connect from_op="Windowing" from_port="original" to_op="Windowing (2)" to_port="example set input"/>
<connect from_op="Windowing (2)" from_port="example set 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="Sort (2)" to_port="example set input"/>
<connect from_op="Sort (2)" from_port="example set output" to_op="Filter Example Range" to_port="example set input"/>
<connect from_op="Filter Example Range" from_port="example set output" to_op="Remember" to_port="store"/>
<connect from_op="Deep Learning Window" from_port="model" to_op="Loop" to_port="input 1"/>
<connect from_op="Deep Learning Window" from_port="averagable 1" to_port="result 1"/>
<connect from_op="Loop" from_port="output 1" to_op="Append" to_port="example set 1"/>
<connect from_op="Append" from_port="merged set" to_op="Sort" to_port="example set input"/>
<connect from_op="Sort" from_port="example set output" 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>0