NAME

Paws::Glue::FindMatchesParameters

USAGE

This class represents one of two things:

Arguments in a call to a service

Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object.

As an example, if Att1 is expected to be a Paws::Glue::FindMatchesParameters object:

$service_obj->Method(Att1 => { AccuracyCostTradeoff => $value, ..., PrimaryKeyColumnName => $value  });

Results returned from an API call

Use accessors for each attribute. If Att1 is expected to be an Paws::Glue::FindMatchesParameters object:

$result = $service_obj->Method(...);
$result->Att1->AccuracyCostTradeoff

DESCRIPTION

The parameters to configure the find matches transform.

ATTRIBUTES

AccuracyCostTradeoff => Num

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.

EnforceProvidedLabels => Bool

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.

PrecisionRecallTradeoff => Num

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.

PrimaryKeyColumnName => Str

The name of a column that uniquely identifies rows in the source table. Used to help identify matching records.

SEE ALSO

This class forms part of Paws, describing an object used in Paws::Glue

BUGS and CONTRIBUTIONS

The source code is located here: https://github.com/pplu/aws-sdk-perl

Please report bugs to: https://github.com/pplu/aws-sdk-perl/issues