Added logo for build and removed Manifest

Author: theogf

Manifest.toml

@@ -5,3 +5,4 @@ version = "0.1.0"
 [deps]
 Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
+Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

Project.toml

@@ -1,3 +1,4 @@
+[![Build Status](https://travis-ci.org/theogf/KernelFunctions.jl.svg?branch=master)](https://travis-ci.org/theogf/AugmentedGaussianProcesses.jl)
 # KernelFunctions.jl (WIP)
 Julia Package for kernel functions for machine learning
 
@@ -9,4 +10,4 @@ Julia Package for kernel functions for machine learning
 - BLAS backend
 
 
-Directly inspired by the [MLKernels](https://github.com/trthatcher/MLKernels.jl)
+Directly inspired by the [MLKernels](https://github.com/trthatcher/MLKernels.jl) package

README.md

@@ -5,13 +5,13 @@ B = rand(dims...)
 K = [zeros(dims[1],dims[1]),zeros(dims[2],dims[2])]
 k = SquaredExponentialKernel()
 
-@testset "Inplace kernelmatrix" begin
+@testset "Inplace Kernel Matrix" begin
     for obsdim in [1,2]
         @test kernelmatrix!(K[obsdim],k,A,B,obsdim=obsdim) == kernelmatrix(k,A,B,obsdim=obsdim)
     end
 end
 
-@testset "Kernal matrix" begin
+@testset "Kernel matrix" begin
     for obsdim in [1,2]
         @test kernelmatrix(k,A,B,obsdim=obsdim) == kappa.([k],pairwise(KernelFunctions.metric(k),A,B,dims=obsdim))
     end