metalearners: Combine predictions from multiple learners
In tlverse/sl3: Pipelines for Machine Learning and Super Learning
metalearners R Documentation
Combine predictions from multiple learners
Description
Combine predictions from multiple learners
Usage
metalearner_logistic_binomial(alpha, X, trim)
metalearner_linear(alpha, X)
metalearner_linear_multivariate(alpha, X)
metalearner_linear_multinomial(alpha, X)
Arguments
alpha
a vector of combination coefficients
X
a matrix of predictions
trim
a value use to trim predictions away from 0 and 1.
tlverse/sl3 documentation built on Nov. 18, 2024, 12:46 a.m.
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| metalearners | R Documentation |
Combine predictions from multiple learners
Description
Combine predictions from multiple learners
Usage
metalearner_logistic_binomial(alpha, X, trim)
metalearner_linear(alpha, X)
metalearner_linear_multivariate(alpha, X)
metalearner_linear_multinomial(alpha, X)
Arguments
alpha |
a vector of combination coefficients |
X |
a matrix of predictions |
trim |
a value use to trim predictions away from 0 and 1. |
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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