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 class
TrainedModelInferenceStats.Builder
Builder forTrainedModelInferenceStats
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Field Summary
Fields Modifier and Type Field Description static JsonpDeserializer<TrainedModelInferenceStats>
_DESERIALIZER
Json deserializer forTrainedModelInferenceStats
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Constructor Summary
Constructors Constructor Description TrainedModelInferenceStats(TrainedModelInferenceStats.Builder builder)
TrainedModelInferenceStats(java.util.function.Function<TrainedModelInferenceStats.Builder,TrainedModelInferenceStats.Builder> fn)
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Method Summary
Modifier and Type Method Description long
cacheMissCount()
The number of times the model was loaded for inference and was not retrieved from the cache.long
failureCount()
The number of failures when using the model for inference.long
inferenceCount()
The total number of times the model has been called for inference.long
missingAllFieldsCount()
The number of inference calls where all the training features for the model were missing.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(DelegatingDeserializer<TrainedModelInferenceStats.Builder> op)
java.lang.String
timestamp()
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
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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
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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
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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
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timestamp
public java.lang.String timestamp()The time when the statistics were last updated.API name:
timestamp
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serialize
Serialize this object to JSON.- Specified by:
serialize
in interfaceJsonpSerializable
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serializeInternal
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setupTrainedModelInferenceStatsDeserializer
protected static void setupTrainedModelInferenceStatsDeserializer(DelegatingDeserializer<TrainedModelInferenceStats.Builder> op)
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