make adaptiveproxgrad the default

joshday · joshday · commit a2885a0e2e91 · 2017-10-20T15:54:21.000-04:00
diff --git a/src/SparseRegression.jl b/src/SparseRegression.jl
@@ -33,7 +33,7 @@ function learn!(o::SModel; verbose::Bool = true)
     s
 end
 
-strategy(o::SModel) = strategy(ProxGrad(o), MaxIter(), Converged(coef))
+strategy(o::SModel) = strategy(AdaptiveProxGrad(o), MaxIter(), Converged(coef))
 
 const ScaledL2 = Union{L2DistLoss, LossFunctions.ScaledDistanceLoss{L2DistLoss}}
 strategy(o::SModel{<:ScaledL2, <:Union{NoPenalty, L2Penalty}}) = Sweep(o)

Original file line number	Diff line number	Diff line change
`@@ -33,7 +33,7 @@ function learn!(o::SModel; verbose::Bool = true)`
`33`	`33`	`s`
`34`	`34`	`end`
`35`	`35`
`36`		`-strategy(o::SModel) = strategy(ProxGrad(o), MaxIter(), Converged(coef))`
	`36`	`+strategy(o::SModel) = strategy(AdaptiveProxGrad(o), MaxIter(), Converged(coef))`
`37`	`37`
`38`	`38`	`const ScaledL2 = Union{L2DistLoss, LossFunctions.ScaledDistanceLoss{L2DistLoss}}`
`39`	`39`	`strategy(o::SModel{<:ScaledL2, <:Union{NoPenalty, L2Penalty}}) = Sweep(o)`