Package co.elastic.clients.elasticsearch.ml.get_memory_stats

Class MemMlStats

java.lang.Object
co.elastic.clients.elasticsearch.ml.get_memory_stats.MemMlStats
All Implemented Interfaces:
JsonpSerializable
@JsonpDeserializable
public class MemMlStats
extends java.lang.Object
implements JsonpSerializable
See Also:
API specification

  • Nested Class Summary

    Nested Classes
    Modifier and Type Class Description
    static class  MemMlStats.Builder
    Builder for MemMlStats.

  • Field Summary

    Fields
    Modifier and Type Field Description
    static JsonpDeserializer<MemMlStats> _DESERIALIZER
    Json deserializer for MemMlStats

  • Method Summary

    Modifier and Type Method Description
    java.lang.String anomalyDetectors()
    Amount of native memory set aside for anomaly detection jobs.
    int anomalyDetectorsInBytes()
    Required - Amount of native memory, in bytes, set aside for anomaly detection jobs.
    java.lang.String dataFrameAnalytics()
    Amount of native memory set aside for data frame analytics jobs.
    int dataFrameAnalyticsInBytes()
    Required - Amount of native memory, in bytes, set aside for data frame analytics jobs.
    java.lang.String max()
    Maximum amount of native memory (separate to the JVM heap) that may be used by machine learning native processes.
    int maxInBytes()
    Required - Maximum amount of native memory (separate to the JVM heap), in bytes, that may be used by machine learning native processes.
    java.lang.String nativeCodeOverhead()
    Amount of native memory set aside for loading machine learning native code shared libraries.
    int nativeCodeOverheadInBytes()
    Required - Amount of native memory, in bytes, set aside for loading machine learning native code shared libraries.
    java.lang.String nativeInference()
    Amount of native memory set aside for trained models that have a PyTorch model_type.
    int nativeInferenceInBytes()
    Required - Amount of native memory, in bytes, set aside for trained models that have a PyTorch model_type.
    static MemMlStats of​(java.util.function.Function<MemMlStats.Builder,​ObjectBuilder<MemMlStats>> 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 setupMemMlStatsDeserializer​(ObjectDeserializer<MemMlStats.Builder> op)  
    java.lang.String toString()  

    Methods inherited from class java.lang.Object

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

  • Field Details

  • Method Details

    • of

      public static MemMlStats of​(java.util.function.Function<MemMlStats.Builder,​ObjectBuilder<MemMlStats>> fn)

    • anomalyDetectors

      @Nullable public final java.lang.String anomalyDetectors()
      Amount of native memory set aside for anomaly detection jobs.

      API name: anomaly_detectors

    • anomalyDetectorsInBytes

      public final int anomalyDetectorsInBytes()
      Required - Amount of native memory, in bytes, set aside for anomaly detection jobs.

      API name: anomaly_detectors_in_bytes

    • dataFrameAnalytics

      @Nullable public final java.lang.String dataFrameAnalytics()
      Amount of native memory set aside for data frame analytics jobs.

      API name: data_frame_analytics

    • dataFrameAnalyticsInBytes

      public final int dataFrameAnalyticsInBytes()
      Required - Amount of native memory, in bytes, set aside for data frame analytics jobs.

      API name: data_frame_analytics_in_bytes

    • max

      @Nullable public final java.lang.String max()
      Maximum amount of native memory (separate to the JVM heap) that may be used by machine learning native processes.

      API name: max

    • maxInBytes

      public final int maxInBytes()
      Required - Maximum amount of native memory (separate to the JVM heap), in bytes, that may be used by machine learning native processes.

      API name: max_in_bytes

    • nativeCodeOverhead

      @Nullable public final java.lang.String nativeCodeOverhead()
      Amount of native memory set aside for loading machine learning native code shared libraries.

      API name: native_code_overhead

    • nativeCodeOverheadInBytes

      public final int nativeCodeOverheadInBytes()
      Required - Amount of native memory, in bytes, set aside for loading machine learning native code shared libraries.

      API name: native_code_overhead_in_bytes

    • nativeInference

      @Nullable public final java.lang.String nativeInference()
      Amount of native memory set aside for trained models that have a PyTorch model_type.

      API name: native_inference

    • nativeInferenceInBytes

      public final int nativeInferenceInBytes()
      Required - Amount of native memory, in bytes, set aside for trained models that have a PyTorch model_type.

      API name: native_inference_in_bytes

    • 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 java.lang.String toString()
      Overrides:
      toString in class java.lang.Object

    • setupMemMlStatsDeserializer

      protected static void setupMemMlStatsDeserializer​(ObjectDeserializer<MemMlStats.Builder> op)