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oracle.dmt.jdm.featureextraction
Class OraFeatureExtractionModel

java.lang.Object
oracle.dmt.jdm.OraDMObject
oracle.dmt.jdm.OraMiningObject
oracle.dmt.jdm.base.OraModel
oracle.dmt.jdm.featureextraction.OraFeatureExtractionModel

All Implemented Interfaces:

javax.datamining.MiningObject, javax.datamining.base.Model, oracle.dmt.jdm.OraPLSQLConstants

public class OraFeatureExtractionModel

extends OraModel

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.

See Also:

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_generalized_linear_model, algo_kmeans, algo_naive_bayes, algo_name, algo_nonnegative_matrix_factor, algo_ocluster, algo_predictor_variance, algo_support_vector_machines, apply_cost_content, apply_lower_content, apply_nodeid_content, apply_pred_value_content, apply_probability_content, apply_upper_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, clas_weights_table_name, classification, clus_num_clusters, clustering, feat_num_features, feature_extraction, glms_conf_level, glms_conf_level_default, glms_diagnostics_table_name, glms_reference_class_name, glms_ridge_reg_disable, glms_ridge_reg_enable, glms_ridge_regression, glms_ridge_value, glms_vif_for_ridge, glms_vif_ridge_disable, glms_vif_ridge_enable, 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, odms_missing_value_delete_row, odms_missing_value_mean_mode, odms_missing_value_treatment, odms_row_weight_column_name, 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, prep_auto, prep_auto_off, prep_auto_on, 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, getModelTransformations, 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

getFeatures

public java.util.Collection getFeatures(int topNCoefficient)
                                 throws javax.datamining.JDMException

Returns the collection of top N features representing the original data.

Parameters:

topNCoefficient - number of top N features

Returns:

Collection

Throws:

javax.datamining.JDMException - features cannot be retrieved

getFeatures

public java.util.Collection getFeatures()
                                 throws javax.datamining.JDMException

Returns the collection all features representing the original data.

Returns:

Collection

Throws:

javax.datamining.JDMException - features cannot be retrieved

getModelDetail

public javax.datamining.base.ModelDetail getModelDetail()

Returns the algorithm-specific model detail for this model. This may be NULL if the DME does not make model detail visible.

Specified by:

getModelDetail in interface javax.datamining.base.Model

Specified by:

getModelDetail in class OraModel

Returns:

ModelDetail

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