gradientDescent: gradientDescent
In WilsonImmunologyLab/LinQseq: Integrate information from both transcriptome and cell surface protein signals to better identify cell heterogeneity
View source: R/JointAnalysis.R
Description
gradient descent algorithm
Usage
1
gradientDescent(X, Y, alpha, learning.rate, low.threshold)
Arguments
X
dist of X
Y
dist of Y
alpha
starting alpha
learning.rate
step size of each iteration
low.threshold
low threshold of gradient
WilsonImmunologyLab/LinQseq documentation built on Dec. 29, 2021, 8:15 p.m.
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View source: R/JointAnalysis.R
Description
gradient descent algorithm
Usage
1 | gradientDescent(X, Y, alpha, learning.rate, low.threshold)
|
Arguments
X |
dist of X |
Y |
dist of Y |
alpha |
starting alpha |
learning.rate |
step size of each iteration |
low.threshold |
low threshold of gradient |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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