add semicolon

README.md

@@ -81,7 +81,7 @@ Running NMF (HALS algorithm) on $\mathbf{X}$ with NNDSVD initialization
 
 ```julia
 julia> f = svd(X);
-julia> result_hals = nnmf(float(X), 4; init=:nndsvd, alg=:cd, initdata=f, maxiter = 10^6, tol = 1e-4)
+julia> result_hals = nnmf(float(X), 4; init=:nndsvd, alg=:cd, initdata=f, maxiter = 10^6, tol = 1e-4);
 julia> result_hals.objvalue/sum(abs2, X)
 0.00019519131697246967
 ```
@@ -91,9 +91,9 @@ Running NMF Merge on $\mathbf{X}$ with NNDSVD initialization
 julia> f = svd(X);
 julia> result_over = nnmf(float(X), 5; init=:nndsvd, alg=:cd, initdata=f, maxiter = 10^6, tol = 1e-4);
 julia> W1, H1 = result_over.W, result_over.H;
-julia> W1normed, H1normed = colnormalize(W1, H1)
-julia> Wmerge, Hmerge, mergesq = colmerge2to1pq(copy(W1normed), copy(H1normed), 4)
-julia> result_renmf = nnmf(float(X), 4; init=:custom, alg = :cd, maxiter=10^6, tol=1e-4, W0=copy(Wmerge), H0=copy(Hmerge))
+julia> W1normed, H1normed = colnormalize(W1, H1);
+julia> Wmerge, Hmerge, mergesq = colmerge2to1pq(copy(W1normed), copy(H1normed), 4);
+julia> result_renmf = nnmf(float(X), 4; init=:custom, alg = :cd, maxiter=10^6, tol=1e-4, W0=copy(Wmerge), H0=copy(Hmerge));
 julia> result_renmf.objvalue/sum(abs2, X)
 8.873476732142566e-7
 ```