gamma_to_theta: Transform raw intercept function to constrained one
In LucasKookUZH/ontram-pkg: Ordinal transformation model neural networks
gamma_to_theta R Documentation
Transform raw intercept function to constrained one
Description
Converts raw intercept function, which is the output of
mod_baseline, to the valid intercept function, which
is used to evaluate the likelihood and it's gradient.
Namely, theta_1 = gamma_1, theta_k = theta_1 + sum_i = 1^k-1
exp(gamma_i) and by convention theta_0 = -Inf, theta_K = Inf.
Usage
gamma_to_theta(gammas)
Value
Returns a tf.tensor containing theta_0 to theta_K
Examples
gammas <- tf$constant(c(0, -1, -1, -1), shape = c(1L, 4L), dtype = "float32")
gamma_to_theta(gammas)
LucasKookUZH/ontram-pkg documentation built on March 27, 2023, 6:05 p.m.
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| gamma_to_theta | R Documentation |
Transform raw intercept function to constrained one
Description
Converts raw intercept function, which is the output of
mod_baseline, to the valid intercept function, which
is used to evaluate the likelihood and it's gradient.
Namely, theta_1 = gamma_1, theta_k = theta_1 + sum_i = 1^k-1
exp(gamma_i) and by convention theta_0 = -Inf, theta_K = Inf.
Usage
gamma_to_theta(gammas)
Value
Returns a tf.tensor containing theta_0 to theta_K
Examples
gammas <- tf$constant(c(0, -1, -1, -1), shape = c(1L, 4L), dtype = "float32")
gamma_to_theta(gammas)
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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