def __init__()

in src/sagemaker/amazon/linear_learner.py [0:0]


    def __init__(
        self,
        role,
        instance_count=None,
        instance_type=None,
        predictor_type=None,
        binary_classifier_model_selection_criteria=None,
        target_recall=None,
        target_precision=None,
        positive_example_weight_mult=None,
        epochs=None,
        use_bias=None,
        num_models=None,
        num_calibration_samples=None,
        init_method=None,
        init_scale=None,
        init_sigma=None,
        init_bias=None,
        optimizer=None,
        loss=None,
        wd=None,
        l1=None,
        momentum=None,
        learning_rate=None,
        beta_1=None,
        beta_2=None,
        bias_lr_mult=None,
        bias_wd_mult=None,
        use_lr_scheduler=None,
        lr_scheduler_step=None,
        lr_scheduler_factor=None,
        lr_scheduler_minimum_lr=None,
        normalize_data=None,
        normalize_label=None,
        unbias_data=None,
        unbias_label=None,
        num_point_for_scaler=None,
        margin=None,
        quantile=None,
        loss_insensitivity=None,
        huber_delta=None,
        early_stopping_patience=None,
        early_stopping_tolerance=None,
        num_classes=None,
        accuracy_top_k=None,
        f_beta=None,
        balance_multiclass_weights=None,
        **kwargs