Adaptive Modeling Mode - Revision history

Javdrher at 15:35, 27 February 2014

2014-02-27T15:35:47Z

← Older revision		Revision as of 15:35, 27 February 2014
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	It is possible to switch off sample selection and run the toolbox for a fixed set of samples, only optimizing the model parameters. This is what we call running in Adaptive Modeling Mode.		It is possible to switch off sample selection and run the toolbox for a fixed set of samples, only optimizing the model parameters. This is what we call running in Adaptive Modeling Mode.

	You can switch off adaptive sample selection if you simply do not specify a <~~SampleSelector~~> tag in your configuration file. Just remove it from the <Plan> section. When you then run the toolbox, all the available data will be used and only adaptive modeling will be done. There are two possibilities:		You can switch off adaptive sample selection if you simply do not specify a <SequentialDesign> tag in your configuration file. Just remove it from the <Plan> section. When you then run the toolbox, all the available data will be used and only adaptive modeling will be done. There are two possibilities:

	#Your simulator is a dataset: the whole dataset will be read in one go and all of the data therein will be used for modeling		#Your simulator is a dataset: the whole dataset will be read in one go and all of the data therein will be used for modeling

Dgorissen at 14:56, 10 March 2009

2009-03-10T14:56:51Z

← Older revision		Revision as of 14:56, 10 March 2009
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	It is possible to switch off sample selection and run the toolbox for a fixed set of samples, only optimizing the model parameters. This is what we call running in Adaptive Modeling Mode.		It is possible to switch off sample selection and run the toolbox for a fixed set of samples, only optimizing the model parameters. This is what we call running in Adaptive Modeling Mode.

	You can switch off adaptive sample selection if you simply do not specify a <SampleSelector> tag in your configuration file. Just remove it. ~~In this case~~ all the available data will be used and only adaptive modeling will be done. There are two possibilities:		You can switch off adaptive sample selection if you simply do not specify a <SampleSelector> tag in your configuration file. Just remove it from the <Plan> section. When you then run the toolbox, all the available data will be used and only adaptive modeling will be done. There are two possibilities:

	#Your simulator is a dataset: the whole dataset will be read in one go and all of the data therein will be used for modeling		#Your simulator is a dataset: the whole dataset will be read in one go and all of the data therein will be used for modeling

Dgorissen at 03:20, 7 February 2009

2009-02-07T03:20:47Z

← Older revision		Revision as of 03:20, 7 February 2009
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	You can switch off adaptive sample selection if you simply do not specify a <SampleSelector> tag in your configuration file. Just remove it. In this case all the available data will be used and only adaptive modeling will be done. There are two possibilities:		You can switch off adaptive sample selection if you simply do not specify a <SampleSelector> tag in your configuration file. Just remove it. In this case all the available data will be used and only adaptive modeling will be done. There are two possibilities:

	#Your simulator is a dataset: the whole dataset will be read in one go		#Your simulator is a dataset: the whole dataset will be read in one go and all of the data therein will be used for modeling
	#Your simulator is an executable or Matlab script: only the initial ~~samples~~ will be generated and used for adaptive modeling, no further samples will be selected.		#Your simulator is an executable or Matlab script: only the initial design will be generated and used for adaptive modeling, no further samples will be selected.

	This is useful if you just want to see what the best model is you can get for a fixed dataset in a certain amount of time.		This is useful if you just want to see what the best model is you can get for a fixed dataset in a certain amount of time.

Dgorissen at 12:55, 30 January 2008

2008-01-30T12:55:28Z

← Older revision		Revision as of 12:55, 30 January 2008
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	It is possible to switch of sample selection and run the toolbox for a fixed set of samples, only optimizing the model parameters. This is what we call running in Adaptive Modeling Mode.		It is possible to switch off sample selection and run the toolbox for a fixed set of samples, only optimizing the model parameters. This is what we call running in Adaptive Modeling Mode.

	You can switch off adaptive sample selection if you simply do not specify a <SampleSelector> tag in your configuration file. Just remove it. In this case all the available data will be used and only adaptive modeling will be done. There are two possibilities:		You can switch off adaptive sample selection if you simply do not specify a <SampleSelector> tag in your configuration file. Just remove it. In this case all the available data will be used and only adaptive modeling will be done. There are two possibilities:

Dgorissen at 14:48, 2 July 2007

2007-07-02T14:48:29Z

New page

It is possible to switch of sample selection and run the toolbox for a fixed set of samples, only optimizing the model parameters. This is what we call running in Adaptive Modeling Mode.

You can switch off adaptive sample selection if you simply do not specify a <SampleSelector> tag in your configuration file. Just remove it. In this case all the available data will be used and only adaptive modeling will be done. There are two possibilities:

#Your simulator is a dataset: the whole dataset will be read in one go
#Your simulator is an executable or Matlab script: only the initial samples will be generated and used for adaptive modeling, no further samples will be selected.

This is useful if you just want to see what the best model is you can get for a fixed dataset in a certain amount of time.