Optimizer

class mlbase.gradient_optimizer.GradientOptimizer(lr)[source]
class mlbase.gradient_optimizer.RMSprop(lr=0.01, rho=0.9, epsilon=1e-06)[source]
class mlbase.gradient_optimizer.Adam(lr=0.01, beta1=0.9, beta2=0.999, epsilon=1e-07)[source]
class mlbase.gradient_optimizer.Momentum(lr=0.01, mu=0.5)[source]
class mlbase.gradient_optimizer.Nesterov(lr=0.01, mu=0.5)[source]
class mlbase.gradient_optimizer.Adagrad(lr=0.01, epsilon=1e-07)[source]