Class TrainedModelInferenceStats
java.lang.Object
co.elastic.clients.elasticsearch.ml.TrainedModelInferenceStats
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JsonpSerializable
@JsonpDeserializable public final class TrainedModelInferenceStats extends java.lang.Object implements JsonpSerializable
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Nested Class Summary
Nested Classes Modifier and Type Class Description static classTrainedModelInferenceStats.BuilderBuilder forTrainedModelInferenceStats. -
Field Summary
Fields Modifier and Type Field Description static JsonpDeserializer<TrainedModelInferenceStats>_DESERIALIZERJson deserializer forTrainedModelInferenceStats -
Constructor Summary
Constructors Constructor Description TrainedModelInferenceStats(TrainedModelInferenceStats.Builder builder)TrainedModelInferenceStats(java.util.function.Function<TrainedModelInferenceStats.Builder,TrainedModelInferenceStats.Builder> fn) -
Method Summary
Modifier and Type Method Description longcacheMissCount()The number of times the model was loaded for inference and was not retrieved from the cache.longfailureCount()The number of failures when using the model for inference.longinferenceCount()The total number of times the model has been called for inference.longmissingAllFieldsCount()The number of inference calls where all the training features for the model were missing.voidserialize(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper)Serialize this object to JSON.protected voidserializeInternal(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper)protected static voidsetupTrainedModelInferenceStatsDeserializer(DelegatingDeserializer<TrainedModelInferenceStats.Builder> op)java.lang.Stringtimestamp()The time when the statistics were last updated.Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Field Details
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_DESERIALIZER
Json deserializer forTrainedModelInferenceStats
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Constructor Details
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TrainedModelInferenceStats
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TrainedModelInferenceStats
public TrainedModelInferenceStats(java.util.function.Function<TrainedModelInferenceStats.Builder,TrainedModelInferenceStats.Builder> fn)
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Method Details
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failureCount
public long failureCount()The number of failures when using the model for inference.API name:
failure_count -
inferenceCount
public long inferenceCount()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 -
cacheMissCount
public long cacheMissCount()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, then the cache is not being appropriately used. This can be solved by increasing the cache size or its time-to-live (TTL). See General machine learning settings for the appropriate settings.API name:
cache_miss_count -
missingAllFieldsCount
public long missingAllFieldsCount()The number of inference calls where all the training features for the model were missing.API name:
missing_all_fields_count -
timestamp
public java.lang.String timestamp()The time when the statistics were last updated.API name:
timestamp -
serialize
Serialize this object to JSON.- Specified by:
serializein interfaceJsonpSerializable
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serializeInternal
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setupTrainedModelInferenceStatsDeserializer
protected static void setupTrainedModelInferenceStatsDeserializer(DelegatingDeserializer<TrainedModelInferenceStats.Builder> op)
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