From 9dce6232143cda235fe235016c332f8fe1fd939a Mon Sep 17 00:00:00 2001
From: Adarsh Kumar <45385384+AdarshKumar712@users.noreply.github.com>
Date: Thu, 27 Feb 2020 16:26:17 +0530
Subject: [PATCH] Updated Msle loss

---
 src/layers/stateless.jl | 15 +++++----------
 1 file changed, 5 insertions(+), 10 deletions(-)

diff --git a/src/layers/stateless.jl b/src/layers/stateless.jl
index 74236700..b4e97660 100644
--- a/src/layers/stateless.jl
+++ b/src/layers/stateless.jl
@@ -17,33 +17,28 @@ mse(ŷ, y) = sum((ŷ .- y).^2) * 1 // length(y)
 
 
 """
-    mean_squared_logarithmic_error(ŷ, y;ϵ1=eps.(Float64.(ŷ)),ϵ2=eps.(Float64.(y)))
+    msle(ŷ, y;ϵ1=eps.(Float64.(ŷ)),ϵ2=eps.(Float64.(y)))
 
-L2 loss function. Returns the mean of the squared logarithmic errors of prediction ŷ, and true values y. The ϵ1 and ϵ2 terms provide numerical stability.
+Mean Squared Logarithmic Error,an L2 loss function. Returns the mean of the squared logarithmic errors of prediction ŷ, and true values y. The ϵ1 and ϵ2 terms provide numerical stability.
 (Computes mean of squared(log(predicted values)-log(true value)). This error penalizes an under-predicted estimate greater than an over-predicted estimate.
 
   ```julia
-  julia> y_=[14726,327378,74734]
+  julia> y=[14726,327378,74734]
   3-element Array{Int64,1}:
     14726
   327378
     74734
 
-  julia> y = [12466.1,16353.95,16367.98]
+  julia> ŷ = [12466.1,16353.95,16367.98]
   3-element Array{Float64,1}:
   12466.1 
   16353.95
   16367.98
 
-  julia> mean_squared_logarithmic_error(y,y_)
+  julia> msle(ŷ,y)
   3.771271382334686
   ```
-Alias:
-  msle(ŷ,y;ϵ1=eps.(Float64.(ŷ)),ϵ2=eps.(Float64.(y)))
-
 """
-mean_squared_logarithmic_error(ŷ, y;ϵ1=eps.(ŷ),ϵ2=eps.(eltype(ŷ).(y))) = sum((log.(ŷ+ϵ1).-log.(y+ϵ2)).^2) * 1 // length(y)
-#Alias
 msle(ŷ, y;ϵ1=eps.(ŷ),ϵ2=eps.(eltype(ŷ).(y))) = sum((log.(ŷ+ϵ1).-log.(y+ϵ2)).^2) * 1 // length(y)