Name transition

.travis.yml

@@ -9,7 +9,7 @@ notifications:
   email: false
 script:
  - if [[ -a .git/shallow ]]; then git fetch --unshallow; fi
- - julia --check-bounds=yes -e 'Pkg.clone(pwd()); Pkg.build("NeuralNetsLite"); Pkg.test("NeuralNetsLite"; coverage=true)'
+ - julia --check-bounds=yes -e 'Pkg.clone(pwd()); Pkg.build("Nervoso"); Pkg.test("Nervoso"; coverage=true)'
 after_success:
- - julia -e 'cd(Pkg.dir("NeuralNetsLite")); Pkg.add("Coverage"); using Coverage; Coveralls.submit(Coveralls.process_folder())'
- - julia -e 'cd(Pkg.dir("NeuralNetsLite")); using Coverage; Codecov.submit(Codecov.process_folder())'
+ - julia -e 'cd(Pkg.dir("Nervoso")); Pkg.add("Coverage"); using Coverage; Coveralls.submit(Coveralls.process_folder())'
+ - julia -e 'cd(Pkg.dir("Nervoso")); using Coverage; Codecov.submit(Codecov.process_folder())'

LICENSE.md

@@ -1,4 +1,4 @@
-The NeuralNetsLite.jl package is licensed under the MIT "Expat" License:
+The Nervoso.jl package is licensed under the MIT "Expat" License:
 
 > Copyright (c) 2015: brk00.
 >

README.md

@@ -1,8 +1,8 @@
-# NeuralNetsLite
+# Nervoso
 
 [![Documentation Status](https://img.shields.io/badge/docs-latest-brightgreen.svg?style=flat-square)](http://neuralnetslitejl.readthedocs.org/en/latest)
-[![Travis](https://img.shields.io/travis/prcastro/NeuralNetsLite.jl.svg?style=flat-square)](https://travis-ci.org/prcastro/NeuralNetsLite.jl)
-[![Coveralls](https://img.shields.io/coveralls/prcastro/NeuralNetsLite.jl.svg?style=flat-square)](https://coveralls.io/github/prcastro/NeuralNetsLite.jl?branch=master)
+[![Travis](https://img.shields.io/travis/prcastro/Nervoso.jl.svg?style=flat-square)](https://travis-ci.org/prcastro/Nervoso.jl)
+[![Coveralls](https://img.shields.io/coveralls/prcastro/Nervoso.jl.svg?style=flat-square)](https://coveralls.io/github/prcastro/Nervoso.jl?branch=master)
 [![License](http://img.shields.io/badge/license-MIT-blue.svg?style=flat-square)](LICENSE.md)
 
 This package provides a simple implementation of Feedforward Neural Networks.
@@ -14,15 +14,15 @@ The main purpose of this package isn't to provide a fast implementation of the a
 To install this package, simply run:
 
 ```julia
-Pkg.clone("https://github.com/prcastro/NeuralNetsLite.jl.git")
+Pkg.clone("https://github.com/prcastro/Nervoso.jl.git")
 ```
 
 ## Basic usage
 
 To use this package, run:
 
 ```julia
-using NeuralNetsLite
+using Nervoso
 ```
 
 To learn how to use the library, check out the [documentation](http://neuralnetslitejl.readthedocs.org/en/latest).

doc/build.jl

@@ -1,9 +1,9 @@
 # This script build the API docs and should be run
-# only if both NeuralNetsLite and Lexicon are installed
-using NeuralNetsLite, Lexicon
+# only if both Nervoso and Lexicon are installed
+using Nervoso, Lexicon
 
 
-save("temp.md", NeuralNetsLite, Config(
+save("temp.md", Nervoso, Config(
    md_subheader=:skip,
 ))
 
@@ -18,8 +18,8 @@ open("temp.md") do temp
     header_to_code(s) = string("`", s[6:end-2], "`[")
     d = replace(d, r"#### .* \[", header_to_code)
 
-    # Remove "NeuralNetsLite." from readability
-    d = replace(d, r"NeuralNetsLite\.", "")
+    # Remove "Nervoso." from readability
+    d = replace(d, r"Nervoso\.", "")
 
     # Remove source links
     d = replace(d, r"\n\*source:\*\n.*\n", "")
@@ -28,7 +28,7 @@ open("temp.md") do temp
     d = replace(d, r"\[¶\](.*)", s -> string(s,"\n"))
 
     # Change title
-    d = replace(d, r"# NeuralNetsLite", "# API Reference")
+    d = replace(d, r"# Nervoso", "# API Reference")
 
     # Save
     open(joinpath("reference", "api.md"), "w") do f

doc/index.md

@@ -1,16 +1,16 @@
-NeuralNetsLite
+Nervoso
 ==============
 
 This package offers a simple-to-understand and general implemementation of feedforward neural networks, focused on correctness and extensibility.
 
 To install this package, run from inside Julia:
 
 ```julia
-Pkg.clone("https://github.com/prcastro/NeuralNetsLite.jl.git")
+Pkg.clone("https://github.com/prcastro/Nervoso.jl.git")
 ```
 
 To use it, run:
 
 ```julia
-using NeuralNetsLite
+using Nervoso
 ```

doc/reference/api.md

@@ -109,7 +109,7 @@ Train the Neural Network using the examples provided in `inputs` and `outputs`.
 <a id="method__update.1" class="lexicon_definition"></a>
 `update!(l::FFNNLayer,  x::Array{Float64, 1})`[¶](#method__update.1)
 
-Update the internal values of the neurons of a layer 
+Update the internal values of the neurons of a layer
 
 ---
 
@@ -229,4 +229,3 @@ Derivative of the quadratic error with respect to the outputs
 `⊗(a::Array{Float64, 1},  b::Array{Float64, 1})`[¶](#method__8855.1)
 
 Outer product
-

examples/digits/script.jl

@@ -1,5 +1,5 @@
 # Remember to install HDF5 and JLD packages
-using HDF5, JLD, NeuralNetsLite
+using HDF5, JLD, Nervoso
 
 # Initializing our examples and network
 @load "data.jld"

examples/xor/script.jl

@@ -1,5 +1,5 @@
 # Remember to install HDF5 and JLD packages
-using HDF5, JLD, NeuralNetsLite
+using HDF5, JLD, Nervoso
 
 # Initializing our examples and network
 @load "data.jld"

mkdocs.yml

@@ -1,8 +1,8 @@
-site_name: NeuralNetsLite.jl
+site_name: Nervoso.jl
 
 site_description: Simple Neural Networks library written in Julia
 
-repo_url: https://github.com/prcastro/NeuralNetsLite.jl
+repo_url: https://github.com/prcastro/Nervoso.jl
 
 pages:
 - 'Introduction': 'index.md'

src/NeuralNetsLite.jl → src/Nervoso.jl

@@ -1,6 +1,6 @@
 VERSION >= v"0.4.0-dev+6521" && __precompile__(true)
 
-module NeuralNetsLite
+module Nervoso
 
 import Base: ==, show, length, size, endof, getindex, setindex!,
              start, next, done, tanh
@@ -20,4 +20,4 @@ function __init__()
     derivatives[ceerror]   = ceerrorprime
 end
 
-end # module NeuralNetsLite
+end # module Nervoso

test/runtests.jl

@@ -1,4 +1,4 @@
-using NeuralNetsLite, FactCheck
+using Nervoso, FactCheck
 
 facts("Layer") do
     context("Build a layer") do
@@ -188,16 +188,16 @@ end
 
 facts("Cost functions") do
     context("Quadratic Error") do
-        @fact der(quaderror) == NeuralNetsLite.derivatives[quaderror] --> true
-        @fact der(quaderror) == NeuralNetsLite.quaderrorprime --> true
+        @fact der(quaderror) == Nervoso.derivatives[quaderror] --> true
+        @fact der(quaderror) == Nervoso.quaderrorprime --> true
         @fact quaderror([1.0,0.0], [0.0,1.0]) --> roughly(1.0)
-        @fact NeuralNetsLite.quaderrorprime([1.0,0.0], [0.0,1.0]) --> [1.0,-1.0]
+        @fact Nervoso.quaderrorprime([1.0,0.0], [0.0,1.0]) --> [1.0,-1.0]
     end
 
     context("Cross-entropy Error") do
-        @fact der(ceerror) == NeuralNetsLite.derivatives[ceerror] --> true
-        @fact der(ceerror) == NeuralNetsLite.ceerrorprime --> true
+        @fact der(ceerror) == Nervoso.derivatives[ceerror] --> true
+        @fact der(ceerror) == Nervoso.ceerrorprime --> true
         @fact ceerror([0.5,0.5], [0.5,0.5]) .< [Inf] --> Bool[true]
-        @fact NeuralNetsLite.ceerrorprime([0.5,0.5], [0.5,0.5]) --> [-1.0, -1.0]
+        @fact Nervoso.ceerrorprime([0.5,0.5], [0.5,0.5]) --> [-1.0, -1.0]
     end
 end