ToolboxPerformance

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Revision as of 11:12, 13 September 2016 by imported>Mathias (→‎PLS_Toolbox Performance)
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PLS_Toolbox Performance

The following performance results are for general comparison and expectation. Your own mileage may vary.


Performance Table
Matlab Versoin PLS_Toolbox Version Operating System System Description Data Description Algorithm Performance Result
2015a 8.1.1 OS X El Capitan 2.8 GHz Intel, 16 GB ram cell cell



PCA time in seconds required to build model

1000 variables 2000 variables 5000 variables
20000 samples 2 4.7 40
50000 samples 3.5 9 61


PCA memory requirements

1000 variables 2000 variables 5000 variables
20000 samples .2 GB 1 GB 3.5 GB
50000 samples 3.55 9 GB 61 GB



PCR time in seconds required to build model

1000 variables 2000 variables 5000 variables
20000 samples 3 6 44


50000 samples 5 12 71



PCR memory requirements

1000 variables 2000 variables 5000 variables
20000 samples .2 GB 1 4 GB


50000 samples .5 GB 4 GB 11


PLS time in seconds required to build model

1000 variables 2000 variables 5000 variables
20000 samples 3.3 8 43


50000 samples 8 18 98


PLS Memory requirements

100 variables 500 variables 1000 variables
100 samples 1 GB 2 GB 5 GB
500 samples 1.6 GB 5.2 GB 13 GB



LWR time in seconds required to build model

1000 variables 5000 variables 10000 variables
20000 samples 4 65 76
50000 samples 10 77 670


LWR memory requirements

1000 variables 2000 variables 5000 variables
20000 samples <1 GB 2 GB 3.5 GB
50000 samples .6 GB 3 GB 6.75 GB



ANN time in seconds required to build model

100 variables 500 variables 1000 variables
500 samples 6 28 95
1000 samples 10 370 360
2000 samples 12 550 2810 s

SVM time in seconds required to train model

100 variables 500 variables 2000 variables
100 samples 8 28 105
500 samples 150 640 2370
1000 samples


SVM with PCA compression time in seconds required to build model

100 variables 500 variables 1000 variables
100 samples 4 4 4
500 samples 38 38 38
1000 samples

SVM memory requirements

100 variables 500 variables 1000 variables
100 samples
500 samples
1000 samples