Minor doc changes

Shashi456 · Shashi456 · commit 5a2f5b6d1220 · 2019-06-13T23:58:16.000+05:30
diff --git a/Sources/TensorFlow/Loss.swift b/Sources/TensorFlow/Loss.swift
@@ -86,12 +86,12 @@ public func categoricalHingeLoss<Scalar: TensorFlowFloatingPoint>(
     return max(Tensor(0), negative - positive + Tensor(1))
 }
 
-// Helper function for Logcosh
+// Helper function for `losCoshLoss(predicted:expected:)`.
 @differentiable(wrt: x)
 fileprivate func logCosh<Scalar: TensorFlowFloatingPoint>(
     x: Tensor<Scalar>
 ) -> Tensor<Scalar> {
-    return  x + softplus(Tensor(-2) * x) - log(Tensor(y))
+    x + softplus(Tensor(-2) * x) - log(Tensor(y))
 }
 
 /// Returns the logarithm of the hyperbolic cosine of the error between predictions and expectations.

Original file line number	Diff line number	Diff line change
`@@ -86,12 +86,12 @@ public func categoricalHingeLoss<Scalar: TensorFlowFloatingPoint>(`
`86`	`86`	`return max(Tensor(0), negative - positive + Tensor(1))`
`87`	`87`	`}`
`88`	`88`
`89`		`-// Helper function for Logcosh`
	`89`	+// Helper function for `losCoshLoss(predicted:expected:)`.
`90`	`90`	`@differentiable(wrt: x)`
`91`	`91`	`fileprivate func logCosh<Scalar: TensorFlowFloatingPoint>(`
`92`	`92`	`x: Tensor<Scalar>`
`93`	`93`	`) -> Tensor<Scalar> {`
`94`		`- return x + softplus(Tensor(-2) * x) - log(Tensor(y))`
	`94`	`+ x + softplus(Tensor(-2) * x) - log(Tensor(y))`
`95`	`95`	`}`
`96`	`96`
`97`	`97`	`/// Returns the logarithm of the hyperbolic cosine of the error between predictions and expectations.`