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PAT 2.0 AWS capping at 50 runs

I am trying to run ~2000 models through PAT. I have set it up using the Algorithmic method DOE and it works for small batches(~50 models), but fails at anything larger. I have the server and worker setup to be c3.8xlarge giving me plently of cores for the simulations. The issue is it just doesn't seem to que up the runs when there are greater than 50 design alternatives. What can I do to fix this? Below are the two error messages I found in the logs:

Error 1: /opt/openstudio/server/lib/analysis_library/doe.rb failed with voidEval failed: Packet[cmd=2130771970,len=<nil>, con='<nil>', status=error:'Unknown variable/method'(127)]

Error 2: Error in contr.poly(nlevels[i], scores = factor.names[[i]]) :  orthogonal polynomials cannot be represented accurately enough for 1530 degrees of freedom

PAT 2.0 AWS capping at 50 runs

I am trying to run ~2000 models through PAT. I have set it up using the Algorithmic method DOE and it works for small batches(~50 models), but fails at anything larger. I have the server and worker setup to be c3.8xlarge giving me plently of cores for the simulations. The issue is it just doesn't seem to que up the runs when there are greater than 50 design alternatives. What can I do to fix this? Below are the two error messages I found in the logs:

Error 1: 1:

/opt/openstudio/server/lib/analysis_library/doe.rb failed with voidEval failed: Packet[cmd=2130771970,len=<nil>, con='<nil>', status=error:'Unknown variable/method'(127)]

Error 2: 2:

Error in contr.poly(nlevels[i], scores = factor.names[[i]]) :  orthogonal polynomials cannot be represented accurately enough for 1530 degrees of freedom

PAT 2.0 AWS capping at 50 runs

I am trying to run ~2000 models through PAT. I have set it up using the Algorithmic method DOE and it works for small batches(~50 models), but fails at anything larger. I have the server and worker setup to be c3.8xlarge giving me plently of cores for the simulations. The issue is it just doesn't seem to que up the runs when there are greater than 50 design alternatives. What can I do to fix this? Below are the two error messages I found in the logs:

Error 1:

/opt/openstudio/server/lib/analysis_library/doe.rb failed with voidEval failed: Packet[cmd=2130771970,len=<nil>, con='<nil>', status=error:'Unknown variable/method'(127)]

Error 2:

Error in contr.poly(nlevels[i], scores = factor.names[[i]]) :  orthogonal polynomials cannot be represented accurately enough for 1530 degrees of freedom

PAT 2.0 AWS capping at 50 runs

I am trying to run ~2000 models through PAT. I have set it up using the Algorithmic method DOE and it works for small batches(~50 models), but fails at anything larger. I have the server and worker setup to be c3.8xlarge giving me plently of cores for the simulations. The issue is it just doesn't seem to que up the runs when there are greater than 50 design alternatives. What can I do to fix this? Below are the two error messages I found in the logs:

Error 1:

/opt/openstudio/server/lib/analysis_library/doe.rb failed with voidEval failed: Packet[cmd=2130771970,len=<nil>, con='<nil>', status=error:'Unknown variable/method'(127)]

variable/method'(127)]

Error 2:

Error in contr.poly(nlevels[i], scores = factor.names[[i]]) : 
orthogonal polynomials cannot be represented accurately enough for 1530 degrees of freedom

freedom