Fix double quotes for single

README.md

@@ -13,7 +13,7 @@ There are three files in this repository — each file works on its own:
 ## Example
 This example shows the classifier displaying the independent probabilistic assumptions on whether given text aligns with keywords of *two* different animals: *cat* or *dog*.
 
-    $ ("meow purr hiss bad animal" 0) ("bark grr howl good animal" 1) b "I am an animal and I hiss"
+    $ ('meow purr hiss bad animal' 0) ('bark grr howl good animal' 1) b 'I am an animal and I hiss'
     0.9999999995 4.999999994999999e¯10
 
 [Try out this example using ngn/apl's online interpreter.](http://ngn.github.io/apl/web/index.html#code=b%u2190%7B%u2206%u2190%u237A%u22C4a%u2190%7B%u2375%u2282%u2368%7E%u2375%u220A%27%20%27%7D%u22C4b%u2190%7B%u2375%2Cq%u2190%27%20%27%7D%u22C4%u03B7%u2190%7B%27%27%2Ca%u220Ab%A8%28%u2375%3D1%u2283%A8%u2206%29/0%u2283%A8%u2206%7D%u22C4d%u2190%7Bo%u2190%28%7B+/%28a%u220Ab%A80%u2283%A8%u2206%29%u220A%u2375%20%22%22%7D%A8a%u2375%29%u22C4%28%28%u2374%u03B7%u237A%29%F7%28%28%u2374%u03B7%200%29+%28%u2374%u03B7%201%29%29%29%D7%D7/%281E%AF10+%28%28%u237A%7B+/%A8%28%u237A%7B%28%u03B7%u237A%29%u220A%u2375%20%27%27%7D%A8%28a%u2375%29%29%7D%u2375%29%F7%28%u2374%u03B7%u237A%29%29%D7o%29%F7%281+o%29%7D%u22C4%280d%u2375%29%281d%u2375%29%F7%28%280d%u2375%29+%281d%u2375%29%29%7D%0A%28%22meow%20purr%20hiss%20bad%20animal%22%200%29%20%28%22bark%20grr%20howl%20good%20animal%22%201%29%20b%20%22I%20am%20an%20animal%20and%20I%20hiss%22)

bayes.apl

@@ -4,7 +4,7 @@
 ⍝ http://www.opensource.org/licenses/mit-license
 ⍝
 ⍝ Format:
-⍝   ("training text" 0) ("training text" 1) b "text to be classified"
+⍝   ('training text' 0) ('training text' 1) b 'text to be classified'
 ⍝
 ⍝ Output:
 ⍝   The indexes correspond to the group assignment during training.
@@ -17,7 +17,7 @@ b ← {
   η ← {'',a∊b¨(⍵=1⊃¨∆)/0⊃¨∆}  ⍝ find all words in a group (⍵) of the training data
   d ← {  ⍝ scoring
     e← (⍴η⍺)÷((⍴η 0)+(⍴η 1)) ⍝ percent of group in total training data
-    o←({+/(a∊b¨0⊃¨∆)∊⍵ ""}¨a⍵)  ⍝ sum of members of testing data in training data
+    o←({+/(a∊b¨0⊃¨∆)∊⍵ ''}¨a⍵)  ⍝ sum of members of testing data in training data
     e××/(1E¯10+((⍺{+/¨(⍺{(η⍺)∊⍵ ''}¨(a⍵))}⍵)÷(⍴η⍺))×o)÷(1+o)  ⍝ (assumed + (percent of specific group ÷ total words in group) × total) ÷ (weight+total)
   }
   (0d⍵)(1d⍵)÷((0d⍵)+(1d⍵))

bayes.full.apl

@@ -4,7 +4,7 @@
 ⍝ http://www.opensource.org/licenses/mit-license
 ⍝
 ⍝ Format:
-⍝   ("training text" 0) ("training text" 1) b "text to be classified"
+⍝   ('training text' 0) ('training text' 1) b 'text to be classified'
 ⍝
 ⍝ Output:
 ⍝   The indexes correspond to the group assignment during training.
@@ -33,7 +33,7 @@ b ← {
     space_sep ← {⍵⊂⍨~⍵∊' '}  ⍝ Separates words from a string vector into a string array
     all_words ← 0⊃¨training_data  ⍝ Finds all the words in the training data.
     add_space ← {⍵,q←' '}  ⍝ Adds after space after the argument
-    +/(space_sep ∊ add_space ¨ all_words)∊⍵ ""  ⍝ Return: Sum of instances a word of as member of the training data.
+    +/(space_sep ∊ add_space ¨ all_words)∊⍵ ''  ⍝ Return: Sum of instances a word of as member of the training data.
   }
 
   ⍝ Finds the total sum of instances of membership of each word in a group of the training data.

bayes.min.apl

@@ -1 +1 @@
-b←{∆←⍺⋄a←{⍵⊂⍨~⍵∊' '}⋄b←{⍵,q←' '}⋄η←{'',a∊b¨(⍵=1⊃¨∆)/0⊃¨∆}⋄d←{o←({+/(a∊b¨0⊃¨∆)∊⍵ ""}¨a⍵)⋄((⍴η⍺)÷((⍴η 0)+(⍴η 1)))××/(1E¯10+((⍺{+/¨(⍺{(η⍺)∊⍵ ''}¨(a⍵))}⍵)÷(⍴η⍺))×o)÷(1+o)}⋄(0d⍵)(1d⍵)÷((0d⍵)+(1d⍵))}
+b←{∆←⍺⋄a←{⍵⊂⍨~⍵∊' '}⋄b←{⍵,q←' '}⋄η←{'',a∊b¨(⍵=1⊃¨∆)/0⊃¨∆}⋄d←{o←({+/(a∊b¨0⊃¨∆)∊⍵ ''}¨a⍵)⋄((⍴η⍺)÷((⍴η 0)+(⍴η 1)))××/(1E¯10+((⍺{+/¨(⍺{(η⍺)∊⍵ ''}¨(a⍵))}⍵)÷(⍴η⍺))×o)÷(1+o)}⋄(0d⍵)(1d⍵)÷((0d⍵)+(1d⍵))}