fit(transformed_gradient_problem, theta_hat_initial; kwargs...)

Find the maximum likelihood estimatator for the parameters theta.

Arguments

• transformed_gradient_problem
• theta_hat_initial

Keyword Arguments

• learning_rate. Default value: 0.0001
• max_iterations. Default value: 1000000
• show_progress_meter. Default value: true
• throw_convergence_exception. Default value: true
• tolerance. Default value: 1.0e-10

See the documentation for fully worked-out examples.

loglikelihood(transformed_gradient_problem, theta_hat)

Return the value of the log likelihood function evaluated at theta_hat.

Arguments

• transformed_gradient_problem
• theta_hat