INNER CODE UNIT · Python

current_init_params

CamDavidsonPilon/lifetimes · lifetimes/fitters/__init__.py:100

        current_init_params = 0.1 * np.ones(params_size) if initial_params is None else initial_params
        output = minimize(
            value_and_grad(self._negative_log_likelihood),
            jac=True,
            method=None,
            tol=tol,
            x0=current_init_params,
            args=minimizing_function_args,
            options=minimize_options,
            bounds=bounds,
        )
        if output.success:
            hessian_ = hessian(self._negative_log_likelihood)(output.x, *minimizing_function_args)
            return output.x, output.fun, hessian_
        print(output)
        raise ConvergenceError(
            dedent(
                """

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