Does Windowing operator accept a macro for "window size"?

vgpowered

Hello,
Is it possible to use a macro in the Windowing  for "window size" parameter?

I have read the thread "Forecasting process - doing it right?" and it seems the operator can do, but I have the error "Required parameter missing"

What happens?

Caperez

Hi @vgpowered, 

here is the XML:

<?xml version="1.0" encoding="UTF-8"?><process version="10.3.001">

  <context>

    <input/>

    <output/>

    <macros/>

  </context>

  <operator activated="true" class="process" compatibility="10.3.001" expanded="true" name="Process" origin="GENERATED_TUTORIAL">

    <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="10.3.001" expanded="true" height="68" name="Retrieve Lake Huron" origin="GENERATED_TUTORIAL" width="90" x="45" y="34">

        <parameter key="repository_entry" value="//Samples/Time Series/data sets/Lake Huron"/>

      </operator>

      <operator activated="true" class="concurrency:optimize_parameters_grid" compatibility="10.3.001" expanded="true" height="124" name="Optimize Parameters (Grid)" width="90" x="246" y="34">

        <list key="parameters">

          <parameter key="Set Macro (Real).value" value="[2;10;5;linear]"/>

        </list>

        <parameter key="error_handling" value="fail on error"/>

        <parameter key="log_performance" value="true"/>

        <parameter key="log_all_criteria" value="false"/>

        <parameter key="synchronize" value="false"/>

        <parameter key="enable_parallel_execution" value="true"/>

        <process expanded="true">

          <operator activated="true" class="operator_toolbox:set_macro_real" compatibility="2.17.000" expanded="true" height="82" name="Set Macro (Real)" width="90" x="45" y="187">

            <parameter key="macro" value="uno"/>

            <parameter key="value" value="3.5"/>

          </operator>

          <operator activated="true" class="generate_macro" compatibility="10.3.001" expanded="true" height="82" name="Generate Macro" width="90" x="179" y="238">

            <list key="function_descriptions">

              <parameter key="dos" value="floor(eval(%{uno}))"/>

            </list>

          </operator>

          <operator activated="true" class="time_series:windowing" compatibility="10.3.001" expanded="true" height="103" name="Windowing (Series)" origin="GENERATED_TUTORIAL" width="90" x="179" y="34">

            <parameter key="attribute_filter_type" value="single"/>

            <parameter key="attribute" value="Lake surface level / feet"/>

            <parameter key="attributes" value=""/>

            <parameter key="use_except_expression" value="false"/>

            <parameter key="value_type" value="numeric"/>

            <parameter key="use_value_type_exception" value="false"/>

            <parameter key="except_value_type" value="real"/>

            <parameter key="block_type" value="value_series"/>

            <parameter key="use_block_type_exception" value="false"/>

            <parameter key="except_block_type" value="value_series_end"/>

            <parameter key="invert_selection" value="false"/>

            <parameter key="include_special_attributes" value="false"/>

            <parameter key="has_indices" value="true"/>

            <parameter key="indices_attribute" value="Date"/>

            <parameter key="sort_time_series" value="false"/>

            <parameter key="expert_settings" value="false"/>

            <parameter key="unit" value="example based"/>

            <parameter key="windows_defined" value="from start"/>

            <parameter key="custom_start_point" value="5"/>

            <parameter key="custom_end_point" value="100"/>

            <parameter key="window_size" value="%{dos}"/>

            <parameter key="custom_start_time" value="2000-01-01 00:00:00"/>

            <parameter key="custom_end_time" value="2030-01-01 00:00:00"/>

            <parameter key="date_format" value="yyyy-MM-dd HH:mm:ss"/>

            <parameter key="window_size_time" value="1.Hours"/>

            <parameter key="windows_stop_definition" value="from next window start"/>

            <parameter key="window_start_attribute" value=""/>

            <parameter key="window_stop_attribute" value=""/>

            <parameter key="no_overlapping_windows" value="false"/>

            <parameter key="step_size" value="1"/>

            <parameter key="step_size_time" value="1.Minutes"/>

            <parameter key="create_horizon_(labels)" value="true"/>

            <parameter key="horizon_attribute" value="Lake surface level / feet"/>

            <parameter key="horizon_size" value="1"/>

            <parameter key="horizon_offset" value="0"/>

            <parameter key="horizon_size_time" value="1.Hours"/>

            <parameter key="horizon_offset_time" value="0.Minutes"/>

            <parameter key="horizon_start_attribute" value=""/>

            <parameter key="horizon_stop_attribute" value=""/>

            <parameter key="empty_window_handling" value="add empty exampleset"/>

          </operator>

          <operator activated="true" class="h2o:deep_learning" compatibility="10.3.001" expanded="true" height="103" name="Deep Learning" width="90" x="313" y="34">

            <parameter key="activation" value="Rectifier"/>

            <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"/>

            <parameter key="reproducible_(uses_1_thread)" value="false"/>

            <parameter key="use_local_random_seed" value="false"/>

            <parameter key="local_random_seed" value="1992"/>

            <parameter key="epochs" value="10.0"/>

            <parameter key="compute_variable_importances" value="false"/>

            <parameter key="train_samples_per_iteration" value="-2"/>

            <parameter key="adaptive_rate" value="true"/>

            <parameter key="epsilon" value="1.0E-8"/>

            <parameter key="rho" value="0.99"/>

            <parameter key="learning_rate" value="0.005"/>

            <parameter key="learning_rate_annealing" value="1.0E-6"/>

            <parameter key="learning_rate_decay" value="1.0"/>

            <parameter key="momentum_start" value="0.0"/>

            <parameter key="momentum_ramp" value="1000000.0"/>

            <parameter key="momentum_stable" value="0.0"/>

            <parameter key="nesterov_accelerated_gradient" value="true"/>

            <parameter key="standardize" value="true"/>

            <parameter key="L1" value="1.0E-5"/>

            <parameter key="L2" value="0.0"/>

            <parameter key="max_w2" value="10.0"/>

            <parameter key="loss_function" value="Automatic"/>

            <parameter key="distribution_function" value="AUTO"/>

            <parameter key="early_stopping" value="false"/>

            <parameter key="stopping_rounds" value="1"/>

            <parameter key="stopping_metric" value="AUTO"/>

            <parameter key="stopping_tolerance" value="0.001"/>

            <parameter key="missing_values_handling" value="MeanImputation"/>

            <parameter key="max_runtime_seconds" value="0"/>

            <list key="expert_parameters"/>

            <list key="expert_parameters_"/>

          </operator>

          <operator activated="true" class="apply_model" compatibility="10.3.001" expanded="true" height="82" name="Apply Model" width="90" x="447" y="34">

            <list key="application_parameters"/>

          </operator>

          <operator activated="true" class="performance_regression" compatibility="10.3.001" expanded="true" height="82" name="Performance (2)" width="90" x="581" y="34">

            <parameter key="main_criterion" value="first"/>

            <parameter key="root_mean_squared_error" value="true"/>

            <parameter key="absolute_error" value="false"/>

            <parameter key="relative_error" value="false"/>

            <parameter key="relative_error_lenient" value="false"/>

            <parameter key="relative_error_strict" value="false"/>

            <parameter key="normalized_absolute_error" value="false"/>

            <parameter key="root_relative_squared_error" value="false"/>

            <parameter key="squared_error" value="false"/>

            <parameter key="correlation" value="false"/>

            <parameter key="squared_correlation" value="false"/>

            <parameter key="prediction_average" value="false"/>

            <parameter key="spearman_rho" value="false"/>

            <parameter key="kendall_tau" value="false"/>

            <parameter key="skip_undefined_labels" value="true"/>

            <parameter key="use_example_weights" value="true"/>

          </operator>

          <connect from_port="input 1" to_op="Windowing (Series)" to_port="example set"/>

          <connect from_op="Set Macro (Real)" from_port="through 1" to_op="Generate Macro" to_port="through 1"/>

          <connect from_op="Windowing (Series)" from_port="windowed example set" to_op="Deep Learning" to_port="training set"/>

          <connect from_op="Deep Learning" from_port="model" to_op="Apply Model" to_port="model"/>

          <connect from_op="Deep Learning" from_port="exampleSet" to_op="Apply Model" to_port="unlabelled data"/>

          <connect from_op="Apply Model" from_port="labelled data" to_op="Performance (2)" to_port="labelled data"/>

          <connect from_op="Performance (2)" from_port="performance" 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_model" spacing="0"/>

          <portSpacing port="sink_output 1" spacing="0"/>

        </process>

      </operator>

      <connect from_op="Retrieve Lake Huron" from_port="output" to_op="Optimize Parameters (Grid)" to_port="input 1"/>

      <connect from_op="Optimize Parameters (Grid)" from_port="performance" 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>