oracle.dmt.jdm.algorithm.svm.regression
Class OraSVMRegressionSettings

java.lang.Object
oracle.dmt.jdm.OraDMObject
oracle.dmt.jdm.base.OraAlgorithmSettings
oracle.dmt.jdm.supervised.OraSupervisedAlgorithmSettings
oracle.dmt.jdm.algorithm.svm.regression.OraSVMRegressionSettings

All Implemented Interfaces:

javax.datamining.base.AlgorithmSettings, oracle.dmt.jdm.OraPLSQLConstants, javax.datamining.supervised.SupervisedAlgorithmSettings, javax.datamining.algorithm.svm.regression.SVMRegressionSettings

public class OraSVMRegressionSettings

extends oracle.dmt.jdm.supervised.OraSupervisedAlgorithmSettings

implements javax.datamining.algorithm.svm.regression.SVMRegressionSettings

OraSVMRegressionSettings defines oracle specific SVM algorithm settings i.e., active learning.

• By default active learning is enabled to limit the size of the model. SVM models grow as the size of the training data set increases. This property limits SVM models to small and medium size training sets (less than 100,000 items). Active learning provides a way to deal with large training sets.

Field Summary

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

boolean	getActiveLearning() Returns true if active learning by algorithm is enabled, either set by the user or the default value.
void	setActiveLearning(boolean enable) Sets to true to enable active learning by algorithm, otherwise sets to false.

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

getMiningAlgorithm, verify

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.AlgorithmSettings

getMiningAlgorithm, verify

Method Detail

getActiveLearning

public boolean getActiveLearning()

Returns true if active learning by algorithm is enabled, either set by the user or the default value. Active learning is enabled by default.

Returns:

boolean

Throws:

javax.datamining.JDMException

setActiveLearning

public void setActiveLearning(boolean enable)

Sets to true to enable active learning by algorithm, otherwise sets to false.

Parameters:

enable - True if active learning is enabled.

Returns:

void

Throws:

javax.datamining.JDMException