original_ifgt_main.cc File Reference

Driver for the original improved fast Gauss transform algorithm. More...

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Functions
int	main (int argc, char *argv[])
	Main function which reads parameters and determines which algorithms to run.

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Detailed Description

Driver for the original improved fast Gauss transform algorithm.

Author:

Dongryeol Lee (dongryel)

Definition in file original_ifgt_main.cc.

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Function Documentation

int main	(	int	argc,
		char *	argv[]
	)

Main function which reads parameters and determines which algorithms to run.

In order to compile this driver, do: fl-build original_ifgt_bin --mode=fast

In order to run this driver for the IFGT-based KDE algorithm, type the following (which consists of both required and optional arguments) in a single command line:

./original_ifgt_bin --data=name_of_the_reference_dataset --query=name_of_the_query_dataset --kde/bandwidth=0.0130619 --kde/scaling=range --kde/ifgt_kde_output=ifgt_kde_output.txt --kde/naive_kde_output=naive_kde_output.txt --kde/do_naive --kde/absolute_error=0.01

Explanations for the arguments listed with possible values:

1. data (required): the name of the reference dataset

2. query (optional): the name of the query dataset (if missing, the query dataset is assumed to be the same as the reference dataset)

3. kde/bandwidth (required): smoothing parameter used for KDE; this has to be positive.

4. kde/scaling (optional): whether to prescale the dataset - range: scales both the query and the reference sets to be within the unit hypercube [0, 1]^D where D is the dimensionality. - none: default value; no scaling

5. kde/do_naive (optional): run the naive algorithm after the fast algorithm.

6. kde/fgt_kde_output (optional): if this flag is present, the approximated density estimates are output to the filename provided after it.

7. kde/naive_kde_output (optional): if this flag is present, the exact density estimates computed by the naive algorithm are output to the filename provided after it. This flag is not ignored if --kde/do_naive flag is not present.

8. kde/absolute_error (optional): absolute error criterion for the fast algorithm; default value is 0.1 (0.1 absolute error for all query density estimates).

Definition at line 95 of file original_ifgt_main.cc.

References NaiveKde< TKernel >::Compute(), NaiveKde< TKernel >::ComputeMaximumRelativeError(), fx_done(), fx_param_exists(), fx_param_str(), fx_param_str_req(), fx_root, fx_submodule(), data::Load(), NaiveKde< TKernel >::PrintDebug(), and DatasetScaler::ScaleDataByMinMax().