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oracle.dmt.jdm.modeldetail.glm
Interface OraGLMModelDetail

All Superinterfaces:

javax.datamining.base.ModelDetail

public interface OraGLMModelDetail

extends javax.datamining.base.ModelDetail

OraGLMModelDetail provides methods to retrieve details of the Generalized Linear Model (GLM).

Since:

OJDM 11.1.0.0

Field Summary

static java.lang.String	COEFFICIENT
static java.lang.String	EXP_COEFFICIENT
static java.lang.String	EXP_LOWER_COEFF_LIMIT
static java.lang.String	EXP_UPPER_COEFF_LIMIT
static java.lang.String	LOWER_COEFF_LIMIT
static java.lang.String	P_VALUE
static java.lang.String	STD_COEFFICIENT
static java.lang.String	STD_ERROR
static java.lang.String	TEST_STATISTIC
static java.lang.String	UPPER_COEFF_LIMIT
static java.lang.String	VIF

Method Summary

java.sql.ResultSet	getAttributeCoefficients(java.lang.String[] targetValuesFilter, java.lang.String[] attributeNamesFilter, java.util.Map valueRangeFilters, java.util.Map orderBy) Returns the java.sql.ResultSet that contains the following columns: CLASS String => Target value.
java.util.Map	getGlobalDetails() Returns the java.util.Map that contains the high-level model statistics as a key-value pair.

Field Detail

COEFFICIENT

public static final java.lang.String COEFFICIENT

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Constant Field Values

STD_ERROR

public static final java.lang.String STD_ERROR

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Constant Field Values

TEST_STATISTIC

public static final java.lang.String TEST_STATISTIC

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Constant Field Values

P_VALUE

public static final java.lang.String P_VALUE

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Constant Field Values

VIF

public static final java.lang.String VIF

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Constant Field Values

STD_COEFFICIENT

public static final java.lang.String STD_COEFFICIENT

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Constant Field Values

LOWER_COEFF_LIMIT

public static final java.lang.String LOWER_COEFF_LIMIT

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Constant Field Values

UPPER_COEFF_LIMIT

public static final java.lang.String UPPER_COEFF_LIMIT

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Constant Field Values

EXP_COEFFICIENT

public static final java.lang.String EXP_COEFFICIENT

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Constant Field Values

EXP_LOWER_COEFF_LIMIT

public static final java.lang.String EXP_LOWER_COEFF_LIMIT

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Constant Field Values

EXP_UPPER_COEFF_LIMIT

public static final java.lang.String EXP_UPPER_COEFF_LIMIT

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Constant Field Values

Method Detail

getGlobalDetails

public java.util.Map getGlobalDetails()

Returns the java.util.Map that contains the high-level model statistics as a key-value pair. In this map key is the name of the statistical measure and the value is the computed value associated with it. Type of statistical measures computed depends on the GLM model type.

getAttributeCoefficients

public java.sql.ResultSet getAttributeCoefficients(java.lang.String[] targetValuesFilter,
                                                   java.lang.String[] attributeNamesFilter,
                                                   java.util.Map valueRangeFilters,
                                                   java.util.Map orderBy)

Returns the java.sql.ResultSet that contains the following columns:

1. CLASS String => Target value.
2. ATTRIBUTE_NAME String => Name of the attribute. If it is a nested attribute, then the attribute name is represented as "column_name"."attribute_name".
3. ATTRIBUTE_VALUE String => Value of the attribute. It applies only to categorical attributes, for numerical attributes value is always NULL.
4. COEFFICIENT Double => Attribute coefficient.
5. STD_ERROR Double => Mining objects can have minor/sub types. For example, model object can have function and algorithm as minor types. Table in this comment lists the allowed minor types based on the object type.
6. TEST_STATISTIC Double => For linear regression models, the TEST_STATISTIC returns the t-value for the coefficient estimates based on their standard error. For logistic regression, the TEST_STATISTIC returns the Wald Chi-Square values.
7. P_VALUE Double => probabilities of the test statistics
8. VIF Double => Variance Inflation Factor.
9. STD_COEFFICIENT Double =>
10. LOWER_COEFF_LIMIT Double =>
11. UPPER_COEFF_LIMIT Double =>
12. EXP_COEFFICIENT Double =>
13. EXP_LOWER_COEFF_LIMIT Double =>
14. EXP_UPPER_COEFF_LIMIT Double =>

Parameters:

targetValuesFilter - (Optional) filter results that includes the coefficients for the specified target values for a classification model.

attributeNamesFilter - (Optional) filter results that includes the coeffiocients for the specified attributes

valueRangeFilters - (optional) filter results based on the specified value ranges. For example, to filter results based on P_VALUE between 0.5 and 0.75, user can specify an entry in the map with key-valeu pair as (OraGLMModelDetails.P_VALUE, Interval(0.5, 0.75)

orderBy - (optional) order results based on the specified values ordering. For example, to order results based on the "STD_ERROR" values in descending order, user can specify an entry in this map with key-value pair as (OraGLMModelDetails.STD_ERROR, SortOrder.descending)

Returns:

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