Class MemMlStats
java.lang.Object
co.elastic.clients.elasticsearch.ml.get_memory_stats.MemMlStats
- All Implemented Interfaces:
JsonpSerializable
- See Also:
-
Nested Class Summary
-
Field Summary
Modifier and TypeFieldDescriptionstatic final JsonpDeserializer<MemMlStats>
Json deserializer forMemMlStats
-
Method Summary
Modifier and TypeMethodDescriptionfinal String
Amount of native memory set aside for anomaly detection jobs.final int
Required - Amount of native memory, in bytes, set aside for anomaly detection jobs.final String
Amount of native memory set aside for data frame analytics jobs.final int
Required - Amount of native memory, in bytes, set aside for data frame analytics jobs.final String
max()
Maximum amount of native memory (separate to the JVM heap) that may be used by machine learning native processes.final int
Required - Maximum amount of native memory (separate to the JVM heap), in bytes, that may be used by machine learning native processes.final String
Amount of native memory set aside for loading machine learning native code shared libraries.final int
Required - Amount of native memory, in bytes, set aside for loading machine learning native code shared libraries.final String
Amount of native memory set aside for trained models that have a PyTorch model_type.final int
Required - Amount of native memory, in bytes, set aside for trained models that have a PyTorch model_type.static MemMlStats
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
toString()
-
Field Details
-
_DESERIALIZER
Json deserializer forMemMlStats
-
-
Method Details
-
of
-
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
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
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
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
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
Serialize this object to JSON.- Specified by:
serialize
in interfaceJsonpSerializable
-
serializeInternal
-
toString
-
setupMemMlStatsDeserializer
-