import { Value } from '../../../cloudformation/Value';
/**
  The parameters to configure the find matches transform.
  For full documentation go to <a href="http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-mltransform-transformparameters-findmatchesparameters.html">the AWS Docs</a>
*/
export interface FindMatchesParametersProps {
    /** <code>PrecisionRecallTradeoff</code>  <a name="cfn-glue-mltransform-transformparameters-findmatchesparameters-precisionrecalltradeoff"></a>
  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.<br />
  The precision metric indicates how often your model is correct when it predicts a match.<br />
  The recall metric indicates that for an actual match, how often your model predicts the match.<br />
  
  Required: No<br />
  
  Update requires: <a href="https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/using-cfn-updating-stacks-update-behaviors.html#update-no-interrupt">No interruption</a> */
    precisionRecallTradeoff?: Value<number>;
    /** <code>EnforceProvidedLabels</code>  <a name="cfn-glue-mltransform-transformparameters-findmatchesparameters-enforceprovidedlabels"></a>
  The value to switch on or off to force the output to match the provided labels from users. If the value is <code>True</code>, the <code>find matches</code> transform forces the output to match the provided labels. The results override the normal conflation results. If the value is <code>False</code>, the <code>find matches</code> transform does not ensure all the labels provided are respected, and the results rely on the trained model.<br />
  Note that setting this value to true may increase the conflation execution time.<br />
  
  Required: No<br />
  
  Update requires: <a href="https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/using-cfn-updating-stacks-update-behaviors.html#update-no-interrupt">No interruption</a> */
    enforceProvidedLabels?: Value<boolean>;
    /** <code>PrimaryKeyColumnName</code>  <a name="cfn-glue-mltransform-transformparameters-findmatchesparameters-primarykeycolumnname"></a>
  The name of a column that uniquely identifies rows in the source table. Used to help identify matching records.<br />
  
  Required: Yes<br />
  
  Minimum: <code>1</code><br />
  
  Maximum: <code>1024</code><br />
  
  Pattern: <code>[\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF\t]*</code><br />
  
  Update requires: <a href="https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/using-cfn-updating-stacks-update-behaviors.html#update-replacement">Replacement</a> */
    primaryKeyColumnName: Value<string>;
    /** <code>AccuracyCostTradeoff</code>  <a name="cfn-glue-mltransform-transformparameters-findmatchesparameters-accuracycosttradeoff"></a>
  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 <code>FindMatches</code> transform, sometimes with unacceptable accuracy.<br />
  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.<br />
  Cost measures how many compute resources, and thus money, are consumed to run the transform.<br />
  
  Required: No<br />
  
  Update requires: <a href="https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/using-cfn-updating-stacks-update-behaviors.html#update-no-interrupt">No interruption</a> */
    accuracyCostTradeoff?: Value<number>;
}
