@Generated(value="software.amazon.awssdk:codegen") public final class FindMatchesParameters extends Object implements SdkPojo, Serializable, ToCopyableBuilder<FindMatchesParameters.Builder,FindMatchesParameters>
The parameters to configure the find matches transform.
| Modifier and Type | Class and Description |
|---|---|
static interface |
FindMatchesParameters.Builder |
| Modifier and Type | Method and Description |
|---|---|
Double |
accuracyCostTradeoff()
The value that is selected when tuning your transform for a balance between accuracy and cost.
|
static FindMatchesParameters.Builder |
builder() |
Boolean |
enforceProvidedLabels()
The value to switch on or off to force the output to match the provided labels from users.
|
boolean |
equals(Object obj) |
boolean |
equalsBySdkFields(Object obj)
Indicates whether some other object is "equal to" this one by SDK fields.
|
<T> Optional<T> |
getValueForField(String fieldName,
Class<T> clazz) |
int |
hashCode() |
Double |
precisionRecallTradeoff()
The value selected when tuning your transform for a balance between precision and recall.
|
String |
primaryKeyColumnName()
The name of a column that uniquely identifies rows in the source table.
|
List<SdkField<?>> |
sdkFields() |
static Class<? extends FindMatchesParameters.Builder> |
serializableBuilderClass() |
FindMatchesParameters.Builder |
toBuilder()
Take this object and create a builder that contains all of the current property values of this object.
|
String |
toString()
Returns a string representation of this object.
|
copypublic final String primaryKeyColumnName()
The name of a column that uniquely identifies rows in the source table. Used to help identify matching records.
public final Double precisionRecallTradeoff()
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.
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.
public final Double accuracyCostTradeoff()
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.
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.
public final Boolean enforceProvidedLabels()
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.
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.
public FindMatchesParameters.Builder toBuilder()
ToCopyableBuildertoBuilder in interface ToCopyableBuilder<FindMatchesParameters.Builder,FindMatchesParameters>public static FindMatchesParameters.Builder builder()
public static Class<? extends FindMatchesParameters.Builder> serializableBuilderClass()
public final boolean equalsBySdkFields(Object obj)
SdkPojoSdkPojo class,
and is generated based on a service model.
If an SdkPojo class does not have any inherited fields, equalsBySdkFields
and equals are essentially the same.
equalsBySdkFields in interface SdkPojoobj - the object to be compared withpublic final String toString()