DAGMA
dagma.linear.DagmaLinear._adam_update
Initializing search
    kevinsbello/dagma
    • Home
    • Getting Started
    • API Reference
    kevinsbello/dagma
      • Home
      • Getting Started
      • dagma
        • dagma.linear
          • DagmaLinear
            • _score
            • _h
            • _func
            • _adam_update
            • minimize
            • fit
        • dagma.locally_connected
          • LocallyConnected
            • reset_parameters
            • forward
            • extra_repr
        • dagma.nonlinear
          • DagmaMLP
            • forward
            • h_func
            • fc1_l1_reg
            • fc1_to_adj
          • DagmaNonlinear
            • log_mse_loss
            • minimize
            • fit
        • dagma.utils
          • set_random_seed
          • is_dag
          • simulate_dag
          • simulate_parameter
          • simulate_linear_sem
          • simulate_nonlinear_sem
          • count_accuracy

    dagma.linear.DagmaLinear._adam_update¶

    dagma.linear.DagmaLinear._adam_update(grad: numpy.ndarray, iter: int, beta_1: float, beta_2: float) → numpy.ndarray¶

    Performs one update of Adam.

    Parameters:¶
    grad : np.ndarray¶

    Current gradient of the objective.

    iter : int¶

    Current iteration number.

    beta_1 : float¶

    Adam hyperparameter.

    beta_2 : float¶

    Adam hyperparameter.

    Returns:¶

    Updates the gradient by the Adam method.

    Return type:¶

    np.ndarray


    Last update: Jan 14, 2024
    Back to top
    Previous dagma.linear.DagmaLinear._func
    Next dagma.linear.DagmaLinear.minimize
    © Copyright 2023, Kevin Bello.
    Created using Sphinx 7.1.2. and Sphinx-Immaterial