oracle.dmt.jdm.supervised.classification
Class OraClassificationSettings

java.lang.Object
oracle.dmt.jdm.OraDMObject
oracle.dmt.jdm.OraMiningObject
oracle.dmt.jdm.base.OraBuildSettings
oracle.dmt.jdm.supervised.OraSupervisedSettings
oracle.dmt.jdm.supervised.classification.OraClassificationSettings

All Implemented Interfaces:

javax.datamining.base.BuildSettings, javax.datamining.supervised.classification.ClassificationSettings, javax.datamining.MiningObject, oracle.dmt.jdm.OraPLSQLConstants, javax.datamining.supervised.SupervisedSettings

public class OraClassificationSettings

extends oracle.dmt.jdm.supervised.OraSupervisedSettings

implements javax.datamining.supervised.classification.ClassificationSettings

A ClassificationSettings instance supports function settings specific to the classification mining function.

For one-class classification models, the algorithm must be set to SVM and the target must be set to null. One-class classification implements the anomaly detection function, which identifies unusual patterns in the data. When used for anomaly detection, the SVM algorithm is known as One-Class SVM.

See Also:

MiningObject, oracle.dmt.jdm.MiningObjectImpl, BuildSettings, oracle.dmt.jdm.base.BuildSettingsImpl, SupervisedSettings, OraSupervisedSettings, ClassificationSettings

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

java.lang.String	getPriorProbabilitiesName() Returns the table name of the prior or null if the default prior table name is to be used.
void	setPriorProbabilitiesName(java.lang.String priorTableName) Sets the table name of a prior that will be used for model build.

Methods inherited from class oracle.dmt.jdm.supervised.OraSupervisedSettings

getTargetAttributeName, setTargetAttributeName

Methods inherited from class oracle.dmt.jdm.base.OraBuildSettings

createSettings, doesObjectExistInDatabase, getAlgorithmSettings, getLogicalAttributes, getLogicalData, getLogicalDataName, getMiningFunction, getObjectType, getOutlierIdentification, getOutlierTreatment, getUsage, getWeight, getWeightAttribute, isInputObject, removeObjectFromDatabase, renameObjectInDatabase, retrieveObjectFromDatabase, retrieveObjectFromDatabaseByID, retrieveObjectsFromDatabase, saveObjectInDatabase, setAlgorithmSettings, setLogicalDataName, setOutlierIdentification, setOutlierTreatment, setUsage, setWeight, setWeightAttribute, verify

Methods inherited from class oracle.dmt.jdm.OraMiningObject

doBeforeStore, getCreationDate, getCreatorInfo, getDescription, 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.supervised.SupervisedSettings

getTargetAttributeName, setTargetAttributeName

Methods inherited from interface javax.datamining.base.BuildSettings

getAlgorithmSettings, getLogicalAttributes, getLogicalData, getLogicalDataName, getMiningFunction, getOutlierIdentification, getOutlierTreatment, getUsage, getWeight, getWeightAttribute, setAlgorithmSettings, setLogicalDataName, setOutlierIdentification, setOutlierTreatment, setUsage, setWeight, setWeightAttribute, verify

Methods inherited from interface javax.datamining.MiningObject

getCreationDate, getCreatorInfo, getDescription, getName, getObjectIdentifier, getObjectType, setDescription

Method Detail

setPriorProbabilitiesName

public void setPriorProbabilitiesName(java.lang.String priorTableName)

Sets the table name of a prior that will be used for model build.

Parameters:

priorTableName - The table name of a prior to be associated with classification settings.

Returns:

void

getPriorProbabilitiesName

public java.lang.String getPriorProbabilitiesName()

Returns the table name of the prior or null if the default prior table name is to be used.

Returns:

String