startExternalInference: Start external inference

In mickash/Adaptive-Bayesian-Networks: Adaptive Bayesian Networks.

Description

Start external inference. Only one external inference engine session can run per network.

Usage

startExternalInference(net, number = 1000, nextItem = 0, Update = TRUE,
  StoreImages = TRUE, AssumeIntegrity = TRUE,
  Compression_Setting = "None", Compression_Value1 = 10,
  Compression_Value2 = 1, EIE_pause = 500, DBMS_Timeout = 1000,
  pause = 2)

Arguments

net	The network.
Update	Whether network parameters should be updated.
StoreImages	Whether images should be stored.
AssumeIntegrity	Specifies if engine can assume no other processes will change database records while running. We recommend you set this to TRUE and act accordingly.
Compression_Setting	'None', 'Until' or 'All'. None means compression value 2 is used through out. All means compression value 1 is used through out. Until will use value 1 until the process catches up with the number of entries in the data table, and value 2 after that.
Compression_Value1	The number of items to process during an initial catch up
Compression_Value2	The number of items to process after any initial catch up
EIE_pause	The duration in milliseconds that the external inference engine will wait before rechecking if new data has appeared in the data table.
DBMS_Timeout	Currently unused
pause	The duration in seconds to wait after making system call
Number	The number of samples per inference case
NextItem	The first item to start from. (0-Find Latest)

Value

Updated network.

mickash/Adaptive-Bayesian-Networks documentation built on Nov. 14, 2019, 12:14 a.m.