Package co.elastic.clients.elasticsearch.ml

Class TrainedModelInferenceStats

java.lang.Object

co.elastic.clients.elasticsearch.ml.TrainedModelInferenceStats

All Implemented Interfaces:

JsonpSerializable

@JsonpDeserializable
public class TrainedModelInferenceStats
extends Object
implements JsonpSerializable

See Also:

• API specification

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	TrainedModelInferenceStats.Builder	Builder for TrainedModelInferenceStats.

Field Summary

Fields

Modifier and Type	Field	Description
static final JsonpDeserializer<TrainedModelInferenceStats>	_DESERIALIZER	Json deserializer for TrainedModelInferenceStats

Method Summary

Modifier and Type	Method	Description
final int	cacheMissCount()	Required - The number of times the model was loaded for inference and was not retrieved from the cache.
final int	failureCount()	Required - The number of failures when using the model for inference.
final int	inferenceCount()	Required - The total number of times the model has been called for inference.
final int	missingAllFieldsCount()	Required - The number of inference calls where all the training features for the model were missing.
static TrainedModelInferenceStats	of(Function<TrainedModelInferenceStats.Builder,ObjectBuilder<TrainedModelInferenceStats>> fn)
void	serialize(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper)	Serialize this object to JSON.
protected void	serializeInternal(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper)
protected static void	setupTrainedModelInferenceStatsDeserializer(ObjectDeserializer<TrainedModelInferenceStats.Builder> op)
final long	timestamp()	Required - The time when the statistics were last updated.
String	toString()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Details

_DESERIALIZER

public static final JsonpDeserializer<TrainedModelInferenceStats> _DESERIALIZER

Json deserializer for TrainedModelInferenceStats

Method Details

of

public static TrainedModelInferenceStats of(Function<TrainedModelInferenceStats.Builder,ObjectBuilder<TrainedModelInferenceStats>> fn)

cacheMissCount

public final int cacheMissCount()

Required - The number of times the model was loaded for inference and was not retrieved from the cache. If this number is close to the inference_count, the cache is not being appropriately used. This can be solved by increasing the cache size or its time-to-live (TTL). Refer to general machine learning settings for the appropriate settings.

API name: cache_miss_count

failureCount

public final int failureCount()

Required - The number of failures when using the model for inference.

API name: failure_count

inferenceCount

public final int inferenceCount()

Required - The total number of times the model has been called for inference. This is across all inference contexts, including all pipelines.

API name: inference_count

missingAllFieldsCount

public final int missingAllFieldsCount()

Required - The number of inference calls where all the training features for the model were missing.

API name: missing_all_fields_count

timestamp

public final long timestamp()

Required - The time when the statistics were last updated.

API name: timestamp

serialize

public void serialize(jakarta.json.stream.JsonGenerator generator,
 JsonpMapper mapper)

Serialize this object to JSON.

Specified by:

serialize in interface JsonpSerializable

serializeInternal

protected void serializeInternal(jakarta.json.stream.JsonGenerator generator,
 JsonpMapper mapper)

toString

public String toString()

Overrides:

toString in class Object

setupTrainedModelInferenceStatsDeserializer

protected static void setupTrainedModelInferenceStatsDeserializer(ObjectDeserializer<TrainedModelInferenceStats.Builder> op)