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Oracle Data Mining Java API Reference 10g Release 2 (10.2) B14341-01 |
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java.lang.Object
oracle.dmt.jdm.OraDMObject
oracle.dmt.jdm.OraMiningObject
oracle.dmt.jdm.base.OraModel
oracle.dmt.jdm.featureextraction.OraFeatureExtractionModel
Feature Extraction creates a new set of features based on the original data. The new features extraction let you describe the data with a number of features far smaller than the number of original dimensions (attributes). A feature is a combination of attributes that is of special interest and captures important characteristics of the data.
OraFeatureExtractionModel
object encapsulates the details of extracted features from the traning data.
OraFeature
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.util.Collection |
getFeatures() Returns the collection all features representing the original data. |
java.util.Collection |
getFeatures(int topNCoefficient) Returns the collection of top N features representing the original data. |
javax.datamining.base.ModelDetail |
getModelDetail() Returns the algorithm-specific model detail for this model. |
Methods inherited from class oracle.dmt.jdm.base.OraModel |
getBuildTransformation, setBuildTransformation |
Methods inherited from class oracle.dmt.jdm.OraMiningObject |
doBeforeStore, getCreationDate, getCreatorInfo, getDescription, getName, getObjectIdentifier, getObjectType, 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.MiningObject |
getCreationDate, getCreatorInfo, getDescription, getName, getObjectIdentifier, getObjectType, setDescription |
Method Detail |
public java.util.Collection getFeatures(int topNCoefficient) throws javax.datamining.JDMException
topNCoefficient
- number of top N featuresjavax.datamining.JDMException
- features cannot be retrievedpublic java.util.Collection getFeatures() throws javax.datamining.JDMException
javax.datamining.JDMException
- features cannot be retrievedpublic javax.datamining.base.ModelDetail getModelDetail()
NULL
if the DME does not make model detail visible.getModelDetail
in interface javax.datamining.base.Model
getModelDetail
in class OraModel
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Oracle Data Mining Java API Reference 10g Release 2 (10.2) B14341-01 |
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