object Regression
Helper methods for computing linear regression.
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- def createLinear(standard: Array[Double], observation: Array[Array[Double]]): Result
Compute linear fit coefficients that map observations to a reference:
s = A*[o, 1]
.Compute linear fit coefficients that map observations to a reference:
s = A*[o, 1]
.- standard
reference values.
- observation
observed values.
- returns
linear fit coefficients.
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- def regression(standard: Array[Double], observation: Array[Array[Double]], noIntercept: Boolean): Result
Compute linear fit coefficient
s = A*o
ifnoIntercept
is true ors = A*o + b
ifnoIntercept
isfalse
.Compute linear fit coefficient
s = A*o
ifnoIntercept
is true ors = A*o + b
ifnoIntercept
isfalse
.- standard
array of expected output values.
- observation
array of input values
- noIntercept
true means the model is to be estimated without an intercept term
- returns
linear fit coefficients
- def regression(standard: Array[Double], observation: Array[Array[Double]]): Result
Compute linear fit coefficient
Compute linear fit coefficient
s = A*o.
- standard
array of expected output values.
- observation
array of input values
- returns
linear fit coefficients
- See also
#regression(double[], double[][], boolean)
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- Deprecated
Operations on color spaces and color images, including color calibration.
ij_plugins.color
is the root package for the project.Package
ij_plugins.color.calibration
contains color calibration.Package
ij_plugins.color.converter
contains conversions between color spaces.