<?xml version="1.0" encoding="UTF-8"?><process version="9.2.000-SNAPSHOT"> <context> <input/> <output/> <macros/> </context> <operator activated="true" class="process" compatibility="9.2.000-SNAPSHOT" 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" breakpoints="after" class="retrieve" compatibility="9.2.000-SNAPSHOT" expanded="true" height="68" name="Retrieve s&p-500-data" width="90" x="45" y="289"> <parameter key="repository_entry" value="//Samples/Deep Learning/data/s&p-500-data"/> </operator> <operator activated="true" class="set_role" compatibility="9.2.000-SNAPSHOT" expanded="true" height="82" name="Set Role" width="90" x="179" y="289"> <parameter key="attribute_name" value="Adj Close"/> <parameter key="target_role" value="label"/> <list key="set_additional_roles"/> </operator> <operator activated="true" class="nominal_to_date" compatibility="9.2.000-SNAPSHOT" expanded="true" height="82" name="Nominal to Date" width="90" x="313" y="289"> <parameter key="attribute_name" value="Date"/> <parameter key="date_type" value="date"/> <parameter key="date_format" value="yyyy-MM-dd"/> <parameter key="time_zone" value="SYSTEM"/> <parameter key="locale" value="English (United States)"/> <parameter key="keep_old_attribute" value="false"/> </operator> <operator activated="true" class="split_data" compatibility="9.2.000-SNAPSHOT" expanded="true" height="103" name="Validation Set" origin="GENERATED_TUTORIAL" width="90" x="447" y="289"> <enumeration key="partitions"> <parameter key="ratio" value="0.8"/> <parameter key="ratio" value="0.2"/> </enumeration> <parameter key="sampling_type" value="automatic"/> <parameter key="use_local_random_seed" value="false"/> <parameter key="local_random_seed" value="1992"/> <description align="center" color="transparent" colored="false" width="126">Split off 20% validation set.</description> </operator> <operator activated="true" class="multiply" compatibility="9.2.000-SNAPSHOT" expanded="true" height="103" name="Multiply Training Set" origin="GENERATED_TUTORIAL" width="90" x="514" y="187"> <description align="center" color="transparent" colored="false" width="126">Copy training set.</description> </operator> <operator activated="true" class="split_data" compatibility="9.2.000-SNAPSHOT" expanded="true" height="82" name="Split Data for FS" origin="GENERATED_TUTORIAL" width="90" x="581" y="34"> <enumeration key="partitions"> <parameter key="ratio" value="0.8"/> <parameter key="ratio" value="0.2"/> </enumeration> <parameter key="sampling_type" value="automatic"/> <parameter key="use_local_random_seed" value="false"/> <parameter key="local_random_seed" value="1992"/> <description align="center" color="transparent" colored="false" width="126">Create data split for feature selection.</description> </operator> <operator activated="true" class="model_simulator:automatic_feature_engineering" compatibility="9.1.000" expanded="true" height="103" name="Feature Selection" origin="GENERATED_TUTORIAL" width="90" x="715" y="34"> <parameter key="mode" value="feature selection and generation"/> <parameter key="balance for accuracy" value="0.9"/> <parameter key="show progress dialog" value="false"/> <parameter key="use_local_random_seed" value="true"/> <parameter key="local_random_seed" value="1966"/> <parameter key="use optimization heuristics" value="true"/> <parameter key="maximum generations" value="30"/> <parameter key="population size" value="10"/> <parameter key="use multi-starts" value="true"/> <parameter key="number of multi-starts" value="3"/> <parameter key="generations until multi-start" value="10"/> <parameter key="use time limit" value="false"/> <parameter key="time limit in seconds" value="300"/> <parameter key="use subset for generation" value="false"/> <parameter key="maximum function complexity" value="6"/> <parameter key="use_plus" value="false"/> <parameter key="use_diff" value="false"/> <parameter key="use_mult" value="true"/> <parameter key="use_div" value="true"/> <parameter key="reciprocal_value" value="true"/> <parameter key="use_square_roots" value="true"/> <parameter key="use_exp" value="true"/> <parameter key="use_log" value="true"/> <parameter key="use_absolute_values" value="true"/> <parameter key="use_sgn" value="false"/> <parameter key="use_min" value="false"/> <parameter key="use_max" value="false"/> <process expanded="true"> <operator activated="true" class="concurrency:parallel_decision_tree" compatibility="9.2.000-SNAPSHOT" expanded="true" height="103" name="Decision Tree" width="90" x="45" y="34"> <parameter key="criterion" value="least_square"/> <parameter key="maximal_depth" value="10"/> <parameter key="apply_pruning" value="true"/> <parameter key="confidence" value="0.1"/> <parameter key="apply_prepruning" value="true"/> <parameter key="minimal_gain" value="0.01"/> <parameter key="minimal_leaf_size" value="2"/> <parameter key="minimal_size_for_split" value="4"/> <parameter key="number_of_prepruning_alternatives" value="3"/> </operator> <operator activated="true" class="apply_model" compatibility="9.2.000-SNAPSHOT" expanded="true" height="82" name="Apply Model FS" origin="GENERATED_TUTORIAL" width="90" x="246" y="136"> <list key="application_parameters"/> <parameter key="create_view" value="false"/> </operator> <operator activated="true" class="performance" compatibility="9.2.000-SNAPSHOT" expanded="true" height="82" name="Performance" width="90" x="380" y="136"> <parameter key="use_example_weights" value="true"/> </operator> <connect from_port="example set source" to_op="Decision Tree" to_port="training set"/> <connect from_op="Decision Tree" from_port="model" to_op="Apply Model FS" to_port="model"/> <connect from_op="Decision Tree" from_port="exampleSet" to_op="Apply Model FS" to_port="unlabelled data"/> <connect from_op="Apply Model FS" from_port="labelled data" to_op="Performance" to_port="labelled data"/> <connect from_op="Performance" from_port="performance" to_port="performance sink"/> <portSpacing port="source_example set source" spacing="0"/> <portSpacing port="sink_performance sink" spacing="0"/> </process> <description align="center" color="transparent" colored="false" width="126">Feature selection.</description> </operator> <operator activated="true" class="multiply" compatibility="9.2.000-SNAPSHOT" expanded="true" height="103" name="Multiply Feature Set" origin="GENERATED_TUTORIAL" width="90" x="849" y="238"> <description align="center" color="transparent" colored="false" width="126">Copy feature set.</description> </operator> <operator activated="true" class="model_simulator:apply_feature_set" compatibility="9.1.000" expanded="true" height="82" name="Apply Feature Set on Validation" origin="GENERATED_TUTORIAL" width="90" x="983" y="391"> <parameter key="handle missings" value="true"/> <parameter key="keep originals" value="false"/> <parameter key="originals special role" value="true"/> <description align="center" color="transparent" colored="false" width="126">Apply feature set on validation set.</description> </operator> <operator activated="true" class="model_simulator:apply_feature_set" compatibility="9.1.000" expanded="true" height="82" name="Apply Feature Set on Training" origin="GENERATED_TUTORIAL" width="90" x="983" y="187"> <parameter key="handle missings" value="true"/> <parameter key="keep originals" value="false"/> <parameter key="originals special role" value="true"/> <description align="center" color="transparent" colored="false" width="126">Apply feature set on training set.</description> </operator> <operator activated="true" class="concurrency:parallel_decision_tree" compatibility="9.2.000-SNAPSHOT" expanded="true" height="103" name="Decision Tree (2)" width="90" x="1117" y="187"> <parameter key="criterion" value="least_square"/> <parameter key="maximal_depth" value="10"/> <parameter key="apply_pruning" value="true"/> <parameter key="confidence" value="0.1"/> <parameter key="apply_prepruning" value="true"/> <parameter key="minimal_gain" value="0.01"/> <parameter key="minimal_leaf_size" value="2"/> <parameter key="minimal_size_for_split" value="4"/> <parameter key="number_of_prepruning_alternatives" value="3"/> </operator> <operator activated="true" class="apply_model" compatibility="9.2.000-SNAPSHOT" expanded="true" height="82" name="Apply Model" origin="GENERATED_TUTORIAL" width="90" x="1251" y="289"> <list key="application_parameters"/> <parameter key="create_view" value="false"/> <description align="center" color="transparent" colored="false" width="126">Apply final prediction model on validation set.</description> </operator> <connect from_op="Retrieve s&p-500-data" from_port="output" to_op="Set Role" to_port="example set input"/> <connect from_op="Set Role" from_port="example set output" to_op="Nominal to Date" to_port="example set input"/> <connect from_op="Nominal to Date" from_port="example set output" to_op="Validation Set" to_port="example set"/> <connect from_op="Validation Set" from_port="partition 1" to_op="Multiply Training Set" to_port="input"/> <connect from_op="Validation Set" from_port="partition 2" to_op="Apply Feature Set on Validation" to_port="example set"/> <connect from_op="Multiply Training Set" from_port="output 1" to_op="Split Data for FS" to_port="example set"/> <connect from_op="Multiply Training Set" from_port="output 2" to_op="Apply Feature Set on Training" to_port="example set"/> <connect from_op="Split Data for FS" from_port="partition 1" to_op="Feature Selection" to_port="example set in"/> <connect from_op="Feature Selection" from_port="feature set" to_op="Multiply Feature Set" to_port="input"/> <connect from_op="Feature Selection" from_port="population" to_port="result 2"/> <connect from_op="Feature Selection" from_port="optimization log" to_port="result 3"/> <connect from_op="Multiply Feature Set" from_port="output 1" to_op="Apply Feature Set on Training" to_port="feature set"/> <connect from_op="Multiply Feature Set" from_port="output 2" to_op="Apply Feature Set on Validation" to_port="feature set"/> <connect from_op="Apply Feature Set on Validation" from_port="example set" to_op="Apply Model" to_port="unlabelled data"/> <connect from_op="Apply Feature Set on Training" from_port="example set" to_op="Decision Tree (2)" to_port="training set"/> <connect from_op="Decision Tree (2)" from_port="model" to_op="Apply Model" to_port="model"/> <connect from_op="Apply Model" from_port="labelled data" to_port="result 1"/> <portSpacing port="source_input 1" spacing="0"/> <portSpacing port="sink_result 1" spacing="252"/> <portSpacing port="sink_result 2" spacing="0"/> <portSpacing port="sink_result 3" spacing="0"/> <portSpacing port="sink_result 4" spacing="0"/> </process> </operator> </process>
<?xml version="1.0" encoding="UTF-8"?><process version="9.2.000-BETA2"><br> <context><br> <input/><br> <output/><br> <macros/><br> </context><br> <operator activated="true" class="process" compatibility="9.2.000-BETA2" expanded="true" name="Process"><br> <parameter key="logverbosity" value="init"/><br> <parameter key="random_seed" value="2001"/><br> <parameter key="send_mail" value="never"/><br> <parameter key="notification_email" value=""/><br> <parameter key="process_duration_for_mail" value="30"/><br> <parameter key="encoding" value="UTF-8"/><br> <process expanded="true"><br> <operator activated="true" class="generate_data" compatibility="9.2.000-BETA2" expanded="true" height="68" name="Generate Data" width="90" x="45" y="136"><br> <parameter key="target_function" value="one variable non linear"/><br> <parameter key="number_examples" value="1000"/><br> <parameter key="number_of_attributes" value="1"/><br> <parameter key="attributes_lower_bound" value="-20.0"/><br> <parameter key="attributes_upper_bound" value="25.0"/><br> <parameter key="gaussian_standard_deviation" value="10.0"/><br> <parameter key="largest_radius" value="10.0"/><br> <parameter key="use_local_random_seed" value="true"/><br> <parameter key="local_random_seed" value="1990"/><br> <parameter key="datamanagement" value="double_array"/><br> <parameter key="data_management" value="auto"/><br> </operator><br> <operator activated="true" class="add_noise" compatibility="9.2.000-BETA2" expanded="true" height="103" name="Add Noise" width="90" x="179" y="136"><br> <parameter key="return_preprocessing_model" value="false"/><br> <parameter key="create_view" value="false"/><br> <parameter key="attribute_filter_type" value="all"/><br> <parameter key="attribute" value=""/><br> <parameter key="attributes" value=""/><br> <parameter key="use_except_expression" value="false"/><br> <parameter key="value_type" value="attribute_value"/><br> <parameter key="use_value_type_exception" value="false"/><br> <parameter key="except_value_type" value="time"/><br> <parameter key="block_type" value="attribute_block"/><br> <parameter key="use_block_type_exception" value="false"/><br> <parameter key="except_block_type" value="value_matrix_row_start"/><br> <parameter key="invert_selection" value="false"/><br> <parameter key="include_special_attributes" value="false"/><br> <parameter key="random_attributes" value="3"/><br> <parameter key="label_noise" value="0.01"/><br> <parameter key="default_attribute_noise" value="0.0"/><br> <list key="noise"/><br> <parameter key="offset" value="0.0"/><br> <parameter key="linear_factor" value="1.0"/><br> <parameter key="use_local_random_seed" value="false"/><br> <parameter key="local_random_seed" value="1992"/><br> </operator><br> <operator activated="true" class="multiply" compatibility="9.2.000-BETA2" expanded="true" height="103" name="Multiply" width="90" x="313" y="136"/><br> <operator activated="true" class="model_simulator:automatic_feature_engineering" compatibility="9.2.000-BETA2" expanded="true" height="103" name="Automatic Feature Engineering" width="90" x="447" y="34"><br> <parameter key="mode" value="feature selection and generation"/><br> <parameter key="balance for accuracy" value="1.0"/><br> <parameter key="show progress dialog" value="true"/><br> <parameter key="use_local_random_seed" value="false"/><br> <parameter key="local_random_seed" value="1992"/><br> <parameter key="use optimization heuristics" value="true"/><br> <parameter key="maximum generations" value="30"/><br> <parameter key="population size" value="10"/><br> <parameter key="use multi-starts" value="true"/><br> <parameter key="number of multi-starts" value="5"/><br> <parameter key="generations until multi-start" value="10"/><br> <parameter key="use time limit" value="true"/><br> <parameter key="time limit in seconds" value="30"/><br> <parameter key="use subset for generation" value="false"/><br> <parameter key="maximum function complexity" value="5"/><br> <parameter key="use_plus" value="false"/><br> <parameter key="use_diff" value="false"/><br> <parameter key="use_mult" value="true"/><br> <parameter key="use_div" value="true"/><br> <parameter key="reciprocal_value" value="false"/><br> <parameter key="use_square_roots" value="true"/><br> <parameter key="use_exp" value="false"/><br> <parameter key="use_log" value="false"/><br> <parameter key="use_absolute_values" value="true"/><br> <parameter key="use_sgn" value="false"/><br> <parameter key="use_min" value="false"/><br> <parameter key="use_max" value="false"/><br> <process expanded="true"><br> <operator activated="true" class="concurrency:cross_validation" compatibility="9.2.000-BETA2" expanded="true" height="145" name="Cross Validation" width="90" x="45" y="34"><br> <parameter key="split_on_batch_attribute" value="false"/><br> <parameter key="leave_one_out" value="false"/><br> <parameter key="number_of_folds" value="2"/><br> <parameter key="sampling_type" value="automatic"/><br> <parameter key="use_local_random_seed" value="true"/><br> <parameter key="local_random_seed" value="1990"/><br> <parameter key="enable_parallel_execution" value="true"/><br> <process expanded="true"><br> <operator activated="true" class="support_vector_machine_linear" compatibility="9.2.000-BETA2" expanded="true" height="82" name="SVM (2)" width="90" x="45" y="34"><br> <parameter key="kernel_cache" value="200"/><br> <parameter key="C" value="100.0"/><br> <parameter key="convergence_epsilon" value="0.001"/><br> <parameter key="max_iterations" value="100000"/><br> <parameter key="scale" value="true"/><br> <parameter key="L_pos" value="1.0"/><br> <parameter key="L_neg" value="1.0"/><br> <parameter key="epsilon" value="0.0"/><br> <parameter key="epsilon_plus" value="0.0"/><br> <parameter key="epsilon_minus" value="0.0"/><br> <parameter key="balance_cost" value="false"/><br> <parameter key="quadratic_loss_pos" value="false"/><br> <parameter key="quadratic_loss_neg" value="false"/><br> </operator><br> <connect from_port="training set" to_op="SVM (2)" to_port="training set"/><br> <connect from_op="SVM (2)" from_port="model" to_port="model"/><br> <portSpacing port="source_training set" spacing="0"/><br> <portSpacing port="sink_model" spacing="0"/><br> <portSpacing port="sink_through 1" spacing="0"/><br> </process><br> <process expanded="true"><br> <operator activated="true" class="apply_model" compatibility="9.2.000-BETA2" expanded="true" height="82" name="Apply Model" width="90" x="45" y="34"><br> <list key="application_parameters"/><br> <parameter key="create_view" value="false"/><br> </operator><br> <operator activated="true" class="performance_regression" compatibility="9.2.000-BETA2" expanded="true" height="82" name="Performance" width="90" x="179" y="34"><br> <parameter key="main_criterion" value="relative_error"/><br> <parameter key="root_mean_squared_error" value="false"/><br> <parameter key="absolute_error" value="false"/><br> <parameter key="relative_error" value="true"/><br> <parameter key="relative_error_lenient" value="false"/><br> <parameter key="relative_error_strict" value="false"/><br> <parameter key="normalized_absolute_error" value="false"/><br> <parameter key="root_relative_squared_error" value="false"/><br> <parameter key="squared_error" value="false"/><br> <parameter key="correlation" value="false"/><br> <parameter key="squared_correlation" value="false"/><br> <parameter key="prediction_average" value="false"/><br> <parameter key="spearman_rho" value="false"/><br> <parameter key="kendall_tau" value="false"/><br> <parameter key="skip_undefined_labels" value="true"/><br> <parameter key="use_example_weights" value="true"/><br> </operator><br> <connect from_port="model" to_op="Apply Model" to_port="model"/><br> <connect from_port="test set" to_op="Apply Model" to_port="unlabelled data"/><br> <connect from_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="labelled data"/><br> <connect from_op="Performance" from_port="performance" to_port="performance 1"/><br> <portSpacing port="source_model" spacing="0"/><br> <portSpacing port="source_test set" spacing="0"/><br> <portSpacing port="source_through 1" spacing="0"/><br> <portSpacing port="sink_test set results" spacing="0"/><br> <portSpacing port="sink_performance 1" spacing="0"/><br> <portSpacing port="sink_performance 2" spacing="0"/><br> </process><br> </operator><br> <connect from_port="example set source" to_op="Cross Validation" to_port="example set"/><br> <connect from_op="Cross Validation" from_port="performance 1" to_port="performance sink"/><br> <portSpacing port="source_example set source" spacing="0"/><br> <portSpacing port="sink_performance sink" spacing="0"/><br> </process><br> </operator><br> <operator activated="true" class="model_simulator:apply_feature_set" compatibility="9.2.000-BETA2" expanded="true" height="82" name="Apply Feature Set" width="90" x="581" y="187"><br> <parameter key="handle missings" value="true"/><br> <parameter key="keep originals" value="false"/><br> <parameter key="originals special role" value="true"/><br> </operator><br> <connect from_op="Generate Data" from_port="output" to_op="Add Noise" to_port="example set input"/><br> <connect from_op="Add Noise" from_port="example set output" to_op="Multiply" to_port="input"/><br> <connect from_op="Multiply" from_port="output 1" to_op="Automatic Feature Engineering" to_port="example set in"/><br> <connect from_op="Multiply" from_port="output 2" to_op="Apply Feature Set" to_port="example set"/><br> <connect from_op="Automatic Feature Engineering" from_port="feature set" to_op="Apply Feature Set" to_port="feature set"/><br> <connect from_op="Apply Feature Set" from_port="example set" to_port="result 1"/><br> <connect from_op="Apply Feature Set" from_port="feature set" to_port="result 2"/><br> <portSpacing port="source_input 1" spacing="0"/><br> <portSpacing port="sink_result 1" spacing="147"/><br> <portSpacing port="sink_result 2" spacing="0"/><br> <portSpacing port="sink_result 3" spacing="0"/><br> </process><br> </operator><br></process>