Oracle Data Mining Java API Reference
10g Release 2 (10.2)

B14341-02


oracle.dmt.jdm.supervised
Class OraTestTask

java.lang.Object
  extended byoracle.dmt.jdm.OraDMObject
      extended byoracle.dmt.jdm.OraMiningObject
          extended byoracle.dmt.jdm.base.OraTask
              extended byoracle.dmt.jdm.supervised.OraTestTask

All Implemented Interfaces:
javax.datamining.MiningObject, oracle.dmt.jdm.OraPLSQLConstants, javax.datamining.base.Task, javax.datamining.supervised.TestTask
Direct Known Subclasses:
OraClassificationTestTask

public abstract class OraTestTask
extends oracle.dmt.jdm.base.OraTask
implements javax.datamining.supervised.TestTask

OraTestTask is an extension of the javax.datamining.supervised.TestTask. It provides getTestData method to retrieve the PhysicalDataSet object used in this task.

See Also:
MiningObject, oracle.dmt.jdm.MiningObjectImpl, Task, oracle.dmt.jdm.base.TaskImpl, TestTask

Field Summary

 

Fields inherited from class oracle.dmt.jdm.OraMiningObject
DESCRIPTION_DELIMITER

 

Fields inherited from interface oracle.dmt.jdm.OraPLSQLConstants
abns_max_build_minutes, abns_max_nb_predictors, abns_max_predictors, abns_model_type, abns_multi_feature, abns_naive_bayes, abns_single_feature, algo_adaptive_bayes_network, algo_ai_mdl, algo_ai_mdl2, algo_apriori_association_rules, algo_decision_tree, algo_kmeans, algo_naive_bayes, algo_name, algo_nonnegative_matrix_factor, algo_ocluster, algo_predictor_variance, algo_support_vector_machines, apply_cost_content, apply_nodeid_content, apply_pred_value_content, apply_probability_content, asso_max_rule_length, asso_min_confidence, asso_min_support, association, association_in_model, attribute_importance, clas_cost_table_name, clas_priors_table_name, classification, clus_num_clusters, clustering, feat_num_features, feature_extraction, kmns_block_growth, kmns_conv_tolerance, kmns_cosine, kmns_distance, kmns_euclidean, kmns_fast_cosine, kmns_iterations, kmns_min_pct_attr_support, kmns_num_bins, kmns_size, kmns_split_criterion, kmns_variance, nabs_pairwise_threshold, nabs_singleton_threshold, nmfs_conv_tolerance, nmfs_num_iterations, nmfs_random_seed, ocluster_max_buffer, ocluster_sensitivity, operator_equal, operator_equal_v, operator_greater_or_equal, operator_greater_or_equal_v, operator_greater_than, operator_greater_than_v, operator_in, operator_in_v, operator_less_or_equal, operator_less_or_equal_v, operator_less_than, operator_less_than_v, operator_not_equal, operator_not_equal_v, operator_not_in, operator_not_in_v, oracle_char_type, oracle_dm_nested_categoricals, oracle_dm_nested_numericals, oracle_float_type, oracle_number_type, oracle_varchar2_type, regression, svms_active_learning, svms_al_disable, svms_al_enable, svms_complexity_factor, svms_conv_tolerance, svms_epsilon, svms_gaussian, svms_kernel_cache_size, svms_kernel_function, svms_linear, svms_outlier_rate, svms_std_dev, tree_impurity_entropy, tree_impurity_gini, tree_impurity_metric, tree_impurity_metric_default, tree_term_max_depth, tree_term_max_depth_default, tree_term_max_depth_max, tree_term_max_depth_min, tree_term_max_surrogates_max, tree_term_max_surrogates_min, tree_term_minpct_node, tree_term_minpct_node_default, tree_term_minpct_node_max, tree_term_minpct_split, tree_term_minpct_split_default, tree_term_minpct_split_max, tree_term_minrec_node, tree_term_minrec_node_default, tree_term_minrec_split, tree_term_minrec_split_default

 

Method Summary
 javax.datamining.data.PhysicalDataSet getTestData()
          Retrieves the test input data information from the task.
 java.lang.String getTestMetricsDescription()
          returns the description for the ClassificationTestMetrics object to be created.
 void setTestMetricsDescription(java.lang.String description)
          Sets the description for the ClassificationTestMetrics object to be created.

 

Methods inherited from class oracle.dmt.jdm.base.OraTask
doesObjectExistInDatabase, execute, execute, getDescription, getExecutionHandle, getJob, getObjectType, isInputObject, removeObjectFromDatabase, renameObjectInDatabase, retrieveObjectFromDatabase, retrieveObjectFromDatabaseByID, retrieveObjectsFromDatabase

 

Methods inherited from class oracle.dmt.jdm.OraMiningObject
doBeforeStore, getCreationDate, getCreatorInfo, getName, getObjectIdentifier, saveObjectInDatabase, setDescription

 

Methods inherited from class oracle.dmt.jdm.OraDMObject
createException, createException, createRuntimeException, createRuntimeException, getLocalizedMessage, isConnectionOpen, logInfo, logSevere, logTrace, logTrace, unsupported, unsupported

 

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

 

Methods inherited from interface javax.datamining.base.Task
getExecutionHandle

 

Methods inherited from interface javax.datamining.MiningObject
getCreationDate, getCreatorInfo, getDescription, getName, getObjectIdentifier, getObjectType, setDescription

 

Method Detail

getTestData

public javax.datamining.data.PhysicalDataSet getTestData()
                                                  throws javax.datamining.JDMException
Retrieves the test input data information from the task. This method returns null if the task is not retrived from the DME
Returns:
PhysicalDataSet test input data
Throws:
javax.datamining.JDMException

getTestMetricsDescription

public java.lang.String getTestMetricsDescription()
returns the description for the ClassificationTestMetrics object to be created.
Specified by:
getTestMetricsDescription in interface javax.datamining.supervised.TestTask
Returns:
String
Since:
1.1

setTestMetricsDescription

public void setTestMetricsDescription(java.lang.String description)
Sets the description for the ClassificationTestMetrics object to be created.
Specified by:
setTestMetricsDescription in interface javax.datamining.supervised.TestTask
Parameters:
description -
Returns:
void
Since:
1.1

Oracle Data Mining Java API Reference
10g Release 2 (10.2)

B14341-02


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