Create a learning engine model in the server.


Namespace: NetricsServerInterface
Assembly: NetricsServerInterface (in NetricsServerInterface.dll)

Syntax

Visual Basic (Declaration)
Public Sub rlcreate_l( _ 
   ByVal rlModelName As String,  _ 
   ByVal rlModelFile As String,  _ 
   ByVal allowLargeGatewayMem As Boolean _ 
)
C#
public void rlcreate_l(
   string rlModelName,
   string rlModelFile,
   bool allowLargeGatewayMem
)
C++
public:
 void rlcreate_l(
   String rlModelName,
   String rlModelFile,
   bool allowLargeGatewayMem
) sealed 
J#
public void rlcreate_l(
   string rlModelName,
   string rlModelFile,
   bool allowLargeGatewayMem
)
JScript
public  function rlcreate_l(
   rlModelName : String,
   rlModelFile : String,
   allowLargeGatewayMem : bool
)

Parameters

rlModelName
The name of the model to create.
rlModelFile
The location of the model on disk.
allowLargeGatewayMem
If loading into a cluster, enabling this flag allows the gateway to temporarily store the model in memory. If the flag is not enabled, the gateway will temporarily store the model in a file. In this case, if the gateway is not configured with a temporary storage directory, a FEATURESET error is returned. Enabling theis flag when loading extremely large models (> 50 MB) will return a PARAMVAL error. This flag is ignored when not loading to a cluster.

See Also