bigframes.ml.linear_model.LogisticRegression.__init__

LogisticRegression.__init__(*, optimize_strategy: Literal['auto_strategy', 'batch_gradient_descent'] = 'auto_strategy', fit_intercept: bool = True, l1_reg: float | None = None, l2_reg: float = 0.0, max_iterations: int = 20, warm_start: bool = False, learning_rate: float | None = None, learning_rate_strategy: Literal['line_search', 'constant'] = 'line_search', tol: float = 0.01, ls_init_learning_rate: float | None = None, calculate_p_values: bool = False, enable_global_explain: bool = False, class_weight: Literal['balanced'] | Dict[str, float] | None = None)