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Full Discussion: Help with identify gradient and the coefficient of determination of a straight line
Top Forums Shell Programming and Scripting Help with identify gradient and the coefficient of determination of a straight line Post 302895916 by blakeoft on Thursday 3rd of April 2014 09:44:14 AM
Old 04-03-2014
This will get you the slope of the least squares line.
Code:
>awk '{sumy=$2+$3+$4+$5} {sumxy=$3*3+$4*6+$5*10} {print $1,$2,$3,$4,$5,(4.0*sumxy-19*sumy)/(4.0*145-361)}' file.txt
t1 2 3 5 8 0.611872
t2 0 2 0 2 0.127854
t3 1 1 1 1 0
t4 50 70 80 90 3.88128

I'm not sure why our first slopes differs so much, but the slope of the third line is definitely zero. This awk line only works if you have four data points for each line. Otherwise, you'll need to make some modifications. Also, I don't know what the coefficient of determination is so I need to look it up. You might be able to do it yourself if you follow this example.
This User Gave Thanks to blakeoft For This Post:
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LEARN ABOUT MOJAVE

mpscnnupsamplingnearestgradientnode

MPSCNNUpsamplingNearestGradientNode(3)			 MetalPerformanceShaders.framework		    MPSCNNUpsamplingNearestGradientNode(3)

NAME

       MPSCNNUpsamplingNearestGradientNode

SYNOPSIS

       #import <MPSNNGraphNodes.h>

       Inherits MPSNNGradientFilterNode.

   Instance Methods
       (nonnull instancetype) - initWithSourceGradient:sourceImage:gradientState:scaleFactorX:scaleFactorY:

   Class Methods
       (nonnull instancetype) + nodeWithSourceGradient:sourceImage:gradientState:scaleFactorX:scaleFactorY:

   Properties
       double scaleFactorX
       double scaleFactorY

Detailed Description
       Node representing a MPSCNNUpsamplingNearest kernel

Method Documentation
   - (nonnull instancetype) initWithSourceGradient: (MPSNNImageNode *__nonnull) sourceGradient(MPSNNImageNode *__nonnull)
       sourceImage(MPSNNGradientStateNode *__nonnull) gradientState(double) scaleFactorX(double) scaleFactorY
       A node to represent the gradient calculation for nearest upsampling training.  [forwardFilter gradientFilterWithSources:] is a more
       convient way to do this.

       Parameters:
	   sourceGradient The input gradient from the 'downstream' gradient filter.
	   sourceImage The input image from the forward filter node
	   gradientState The gradient state from the forward filter
	   scaleFactorX The X scale factor from the forward pass
	   scaleFactorY The Y scale factor from the forward pass

       Returns:
	   A MPSCNNUpsamplingNearestGradientNode

   + (nonnull instancetype) nodeWithSourceGradient: (MPSNNImageNode *__nonnull) sourceGradient(MPSNNImageNode *__nonnull)
       sourceImage(MPSNNGradientStateNode *__nonnull) gradientState(double) scaleFactorX(double) scaleFactorY
       A node to represent the gradient calculation for nearest upsampling training.  [forwardFilter gradientFilterWithSources:] is a more
       convient way to do this.

       Parameters:
	   sourceGradient The input gradient from the 'downstream' gradient filter.
	   sourceImage The input image from the forward filter node
	   gradientState The gradient state from the forward filter
	   scaleFactorX The X scale factor from the forward pass
	   scaleFactorY The Y scale factor from the forward pass

       Returns:
	   A MPSCNNUpsamplingNearestGradientNode

Property Documentation
   - (double) scaleFactorX [read],  [nonatomic],  [assign]
   - (double) scaleFactorY [read],  [nonatomic],  [assign]
Author
       Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code.

Version MetalPerformanceShaders-100				  Thu Feb 8 2018			    MPSCNNUpsamplingNearestGradientNode(3)
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