Create a learning engine model in the server.
Namespace: NetricsServerInterface
Assembly: NetricsServerInterface (in NetricsServerInterface.dll)
Syntax
| Visual Basic (Declaration) |
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| Public Sub rlcreate_l( _ ByVal rlModelName As String, _ ByVal rlModelFile As String, _ ByVal allowLargeGatewayMem As Boolean _ ) |
| C# |
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| public void rlcreate_l( string rlModelName, string rlModelFile, bool allowLargeGatewayMem ) |
| C++ |
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| public: void rlcreate_l( String rlModelName, String rlModelFile, bool allowLargeGatewayMem ) sealed |
| J# |
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| public void rlcreate_l( string rlModelName, string rlModelFile, bool allowLargeGatewayMem ) |
| JScript |
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| 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.