Public API

MaximumLikelihoodProblems.fitFunction
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.

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