# Copyright (c) 2020 zfit from .minimizers.baseminimizer import DefaultStrategy, DefaultToyStrategy, ZfitStrategy from .minimizers.minimizer_minuit import Minuit from .minimizers.minimizer_tfp import BFGS from .minimizers.minimizers_scipy import Scipy from .minimizers.optimizers_tf import Adam, WrapOptimizer from .minimizers.fitresult import FitResult from .util.legacy import deprecated [docs]class AdamMinimizer(Adam): @deprecated(None, "Use zfit.minimize.Adam instead.") def __init__(self, tolerance=None, learning_rate=0.2, beta1=0.9, beta2=0.999, epsilon=1e-08, name='Adam', **kwargs): super().__init__(tolerance, learning_rate, beta1, beta2, epsilon, name, **kwargs) [docs]class MinuitMinimizer(Minuit): @deprecated(None, "Use zfit.minimize.Minuit instead.") def __init__(self, strategy: ZfitStrategy = None, minimize_strategy: int = 1, tolerance: float = None, verbosity: int = 5, name: str = None, ncall: int = 10000, use_minuit_grad: bool = None, **minimizer_options): super().__init__(strategy, minimize_strategy, tolerance, verbosity, name, ncall, use_minuit_grad, **minimizer_options) [docs]class ScipyMinimizer(Scipy): @deprecated(None, "Use zfit.minimize.Scipy instead.") def __init__(self, minimizer='L-BFGS-B', tolerance=None, verbosity=5, name=None, **minimizer_options): super().__init__(minimizer, tolerance, verbosity, name, **minimizer_options) __all__ = ['MinuitMinimizer', 'ScipyMinimizer', 'AdamMinimizer', "WrapOptimizer", "Adam", "Minuit", "Scipy", "BFGS", "DefaultStrategy", "DefaultToyStrategy", "FitResult"]