1.5 KiB
1.5 KiB
MlGetMemoryStatsMemMlStats [interface-MlGetMemoryStatsMemMlStats]
| Name | Type | Description |
|---|---|---|
anomaly_detectors_in_bytes |
integer | Amount of native memory, in bytes, set aside for anomaly detection jobs. |
anomaly_detectors |
ByteSize | Amount of native memory set aside for anomaly detection jobs. |
data_frame_analytics_in_bytes |
integer | Amount of native memory, in bytes, set aside for data frame analytics jobs. |
data_frame_analytics |
ByteSize | Amount of native memory set aside for data frame analytics jobs. |
max_in_bytes |
integer | Maximum amount of native memory (separate to the JVM heap), in bytes, that may be used by machine learning native processes. |
max |
ByteSize | Maximum amount of native memory (separate to the JVM heap) that may be used by machine learning native processes. |
native_code_overhead_in_bytes |
integer | Amount of native memory, in bytes, set aside for loading machine learning native code shared libraries. |
native_code_overhead |
ByteSize | Amount of native memory set aside for loading machine learning native code shared libraries. |
native_inference_in_bytes |
integer | Amount of native memory, in bytes, set aside for trained models that have a PyTorch model_type. |
native_inference |
ByteSize | Amount of native memory set aside for trained models that have a PyTorch model_type. |