Package software.amazon.awscdk.services.glue

Class CfnMLTransform.FindMatchesParametersProperty.Jsii$Proxy

java.lang.Object

software.amazon.jsii.JsiiObject

software.amazon.awscdk.services.glue.CfnMLTransform.FindMatchesParametersProperty.Jsii$Proxy

All Implemented Interfaces:

CfnMLTransform.FindMatchesParametersProperty, software.amazon.jsii.JsiiSerializable

Enclosing interface:

CfnMLTransform.FindMatchesParametersProperty

@Stability(Stable)
@Internal
public static final class CfnMLTransform.FindMatchesParametersProperty.Jsii$Proxy
extends software.amazon.jsii.JsiiObject
implements CfnMLTransform.FindMatchesParametersProperty

An implementation for CfnMLTransform.FindMatchesParametersProperty

Nested Class Summary

Nested classes/interfaces inherited from class software.amazon.jsii.JsiiObject

software.amazon.jsii.JsiiObject.InitializationMode

Nested classes/interfaces inherited from interface software.amazon.awscdk.services.glue.CfnMLTransform.FindMatchesParametersProperty

CfnMLTransform.FindMatchesParametersProperty.Builder, CfnMLTransform.FindMatchesParametersProperty.Jsii$Proxy

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	Jsii$Proxy(CfnMLTransform.FindMatchesParametersProperty.Builder builder)	Constructor that initializes the object based on literal property values passed by the CfnMLTransform.FindMatchesParametersProperty.Builder.
protected	Jsii$Proxy(software.amazon.jsii.JsiiObjectRef objRef)	Constructor that initializes the object based on values retrieved from the JsiiObject.

Method Summary

Modifier and Type	Method	Description
com.fasterxml.jackson.databind.JsonNode	$jsii$toJson()
final boolean	equals(Object o)
final Number	getAccuracyCostTradeoff()	The value that is selected when tuning your transform for a balance between accuracy and cost.
final Object	getEnforceProvidedLabels()	The value to switch on or off to force the output to match the provided labels from users.
final Number	getPrecisionRecallTradeoff()	The value selected when tuning your transform for a balance between precision and recall.
final String	getPrimaryKeyColumnName()	The name of a column that uniquely identifies rows in the source table.
final int	hashCode()

Methods inherited from class software.amazon.jsii.JsiiObject

jsiiAsyncCall, jsiiAsyncCall, jsiiCall, jsiiCall, jsiiGet, jsiiGet, jsiiSet, jsiiStaticCall, jsiiStaticCall, jsiiStaticGet, jsiiStaticGet, jsiiStaticSet, jsiiStaticSet

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait

Constructor Details

Jsii$Proxy

protected Jsii$Proxy(software.amazon.jsii.JsiiObjectRef objRef)

Constructor that initializes the object based on values retrieved from the JsiiObject.

Parameters:

objRef - Reference to the JSII managed object.

Jsii$Proxy

protected Jsii$Proxy(CfnMLTransform.FindMatchesParametersProperty.Builder builder)

Constructor that initializes the object based on literal property values passed by the CfnMLTransform.FindMatchesParametersProperty.Builder.

Method Details

getPrimaryKeyColumnName

public final String getPrimaryKeyColumnName()

Description copied from interface: CfnMLTransform.FindMatchesParametersProperty

The name of a column that uniquely identifies rows in the source table.

Used to help identify matching records.

Specified by:

getPrimaryKeyColumnName in interface CfnMLTransform.FindMatchesParametersProperty

See Also:

• http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-findmatchesparameters.html#cfn-glue-mltransform-findmatchesparameters-primarykeycolumnname

getAccuracyCostTradeoff

public final Number getAccuracyCostTradeoff()

Description copied from interface: CfnMLTransform.FindMatchesParametersProperty

The value that is selected when tuning your transform for a balance between accuracy and cost.

A value of 0.5 means that the system balances accuracy and cost concerns. A value of 1.0 means a bias purely for accuracy, which typically results in a higher cost, sometimes substantially higher. A value of 0.0 means a bias purely for cost, which results in a less accurate FindMatches transform, sometimes with unacceptable accuracy.

Accuracy measures how well the transform finds true positives and true negatives. Increasing accuracy requires more machine resources and cost. But it also results in increased recall.

Cost measures how many compute resources, and thus money, are consumed to run the transform.

Specified by:

getAccuracyCostTradeoff in interface CfnMLTransform.FindMatchesParametersProperty

See Also:

• http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-findmatchesparameters.html#cfn-glue-mltransform-findmatchesparameters-accuracycosttradeoff

getEnforceProvidedLabels

public final Object getEnforceProvidedLabels()

Description copied from interface: CfnMLTransform.FindMatchesParametersProperty

The value to switch on or off to force the output to match the provided labels from users.

If the value is True , the find matches transform forces the output to match the provided labels. The results override the normal conflation results. If the value is False , the find matches transform does not ensure all the labels provided are respected, and the results rely on the trained model.

Note that setting this value to true may increase the conflation execution time.

Specified by:

getEnforceProvidedLabels in interface CfnMLTransform.FindMatchesParametersProperty

See Also:

• http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-findmatchesparameters.html#cfn-glue-mltransform-findmatchesparameters-enforceprovidedlabels

getPrecisionRecallTradeoff

public final Number getPrecisionRecallTradeoff()

Description copied from interface: CfnMLTransform.FindMatchesParametersProperty

The value selected when tuning your transform for a balance between precision and recall.

A value of 0.5 means no preference; a value of 1.0 means a bias purely for precision, and a value of 0.0 means a bias for recall. Because this is a tradeoff, choosing values close to 1.0 means very low recall, and choosing values close to 0.0 results in very low precision.

The precision metric indicates how often your model is correct when it predicts a match.

The recall metric indicates that for an actual match, how often your model predicts the match.

Specified by:

getPrecisionRecallTradeoff in interface CfnMLTransform.FindMatchesParametersProperty

See Also:

• http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-findmatchesparameters.html#cfn-glue-mltransform-findmatchesparameters-precisionrecalltradeoff

$jsii$toJson

@Internal
public com.fasterxml.jackson.databind.JsonNode $jsii$toJson()

Specified by:

$jsii$toJson in interface software.amazon.jsii.JsiiSerializable

equals

public final boolean equals(Object o)

Overrides:

equals in class Object

hashCode

public final int hashCode()

Overrides:

hashCode in class Object