Where can I find the documentation of docplex automatic tuning tool?
I was able to find the documentation of the CPLEX automatic tuning tool, namely (the IBM Studio) but I couldn't find any for the docplex one (the cplex python api). Does the tuning tool exist for python? if yes is there any documentation to use this tool?
Thank you in advance for the help.
Best regards.
python optimization cplex mixed-integer-programming docplex
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I was able to find the documentation of the CPLEX automatic tuning tool, namely (the IBM Studio) but I couldn't find any for the docplex one (the cplex python api). Does the tuning tool exist for python? if yes is there any documentation to use this tool?
Thank you in advance for the help.
Best regards.
python optimization cplex mixed-integer-programming docplex
add a comment |
I was able to find the documentation of the CPLEX automatic tuning tool, namely (the IBM Studio) but I couldn't find any for the docplex one (the cplex python api). Does the tuning tool exist for python? if yes is there any documentation to use this tool?
Thank you in advance for the help.
Best regards.
python optimization cplex mixed-integer-programming docplex
I was able to find the documentation of the CPLEX automatic tuning tool, namely (the IBM Studio) but I couldn't find any for the docplex one (the cplex python api). Does the tuning tool exist for python? if yes is there any documentation to use this tool?
Thank you in advance for the help.
Best regards.
python optimization cplex mixed-integer-programming docplex
python optimization cplex mixed-integer-programming docplex
asked Nov 17 '18 at 17:57
sel
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4641517
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1 Answer
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This question was answered here on the official IBM developerWorks forum.
In short, you can't using the tuning tool directly using docplex. However, it is possible to grab the the underlying cplex.Cplex
instance (from the CPLEX Python API), like so:
cpx = m.get_engine().get_cplex()
where m
is an instance of docplex.mp.model.Model
(this tip comes from the thread here). With that instance in your hands, you can do something like the following:
status = cpx.parameters.tune_problem()
if status == cpx.parameters.tuning_status.completed:
print("tuned parameters:")
for param, value in cpx.parameters.get_changed():
print("{0}: {1}".format(repr(param), value))
else:
print("tuning status was: {0}".format(
cpx.parameters.tuning_status[status]))
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
This question was answered here on the official IBM developerWorks forum.
In short, you can't using the tuning tool directly using docplex. However, it is possible to grab the the underlying cplex.Cplex
instance (from the CPLEX Python API), like so:
cpx = m.get_engine().get_cplex()
where m
is an instance of docplex.mp.model.Model
(this tip comes from the thread here). With that instance in your hands, you can do something like the following:
status = cpx.parameters.tune_problem()
if status == cpx.parameters.tuning_status.completed:
print("tuned parameters:")
for param, value in cpx.parameters.get_changed():
print("{0}: {1}".format(repr(param), value))
else:
print("tuning status was: {0}".format(
cpx.parameters.tuning_status[status]))
add a comment |
This question was answered here on the official IBM developerWorks forum.
In short, you can't using the tuning tool directly using docplex. However, it is possible to grab the the underlying cplex.Cplex
instance (from the CPLEX Python API), like so:
cpx = m.get_engine().get_cplex()
where m
is an instance of docplex.mp.model.Model
(this tip comes from the thread here). With that instance in your hands, you can do something like the following:
status = cpx.parameters.tune_problem()
if status == cpx.parameters.tuning_status.completed:
print("tuned parameters:")
for param, value in cpx.parameters.get_changed():
print("{0}: {1}".format(repr(param), value))
else:
print("tuning status was: {0}".format(
cpx.parameters.tuning_status[status]))
add a comment |
This question was answered here on the official IBM developerWorks forum.
In short, you can't using the tuning tool directly using docplex. However, it is possible to grab the the underlying cplex.Cplex
instance (from the CPLEX Python API), like so:
cpx = m.get_engine().get_cplex()
where m
is an instance of docplex.mp.model.Model
(this tip comes from the thread here). With that instance in your hands, you can do something like the following:
status = cpx.parameters.tune_problem()
if status == cpx.parameters.tuning_status.completed:
print("tuned parameters:")
for param, value in cpx.parameters.get_changed():
print("{0}: {1}".format(repr(param), value))
else:
print("tuning status was: {0}".format(
cpx.parameters.tuning_status[status]))
This question was answered here on the official IBM developerWorks forum.
In short, you can't using the tuning tool directly using docplex. However, it is possible to grab the the underlying cplex.Cplex
instance (from the CPLEX Python API), like so:
cpx = m.get_engine().get_cplex()
where m
is an instance of docplex.mp.model.Model
(this tip comes from the thread here). With that instance in your hands, you can do something like the following:
status = cpx.parameters.tune_problem()
if status == cpx.parameters.tuning_status.completed:
print("tuned parameters:")
for param, value in cpx.parameters.get_changed():
print("{0}: {1}".format(repr(param), value))
else:
print("tuning status was: {0}".format(
cpx.parameters.tuning_status[status]))
answered Nov 19 '18 at 16:22
rkersh
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2,16621523
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