diff --git a/README.markdown b/README.markdown
index 6e3058e..b7be748 100644
--- a/README.markdown
+++ b/README.markdown
@@ -24,8 +24,8 @@ $ gem install classifier-reborn
 $ irb
 irb(main):001:0> require 'classifier-reborn'
 irb(main):002:0> classifier = ClassifierReborn::Bayes.new 'Ham', 'Spam'
-irb(main):003:0> classifier.train_ham "Sunday is a holiday. Say no to work on Sunday!"
-irb(main):004:0> classifier.train_spam "You are the lucky winner! Claim your holiday prize."
+irb(main):003:0> classifier.train "Ham", "Sunday is a holiday. Say no to work on Sunday!"
+irb(main):004:0> classifier.train "Spam", "You are the lucky winner! Claim your holiday prize."
 irb(main):005:0> classifier.classify "What's the plan for Sunday?"
 #=> "Ham"
 ```
diff --git a/docs/bayes.md b/docs/bayes.md
index 150a3fd..ac39030 100644
--- a/docs/bayes.md
+++ b/docs/bayes.md
@@ -15,8 +15,8 @@ Bayesian Classifiers are accurate, fast, and have modest memory requirements.
 require 'classifier-reborn'
 
 classifier = ClassifierReborn::Bayes.new 'Interesting', 'Uninteresting'
-classifier.train_interesting "Here are some good words. I hope you love them."
-classifier.train_uninteresting "Here are some bad words, I hate you."
+classifier.train "Interesting", "Here are some good words. I hope you love them."
+classifier.train "Uninteresting", "Here are some bad words, I hate you."
 classifier.classify "I hate bad words and you." #=> 'Uninteresting'
 
 classifier_snapshot = Marshal.dump classifier
@@ -126,15 +126,13 @@ cat: That dang cat keeps scratching the furniture
 ```
 
 If no categories are specified at initialization then `:auto_categorize` is set to `true` by default.
-However, dynamic methods like `train_some_category` or `untrain_some_category` will not work unless corresponding categories exist.
 
 ```ruby
 require 'classifier-reborn'
 
 classifier = ClassifierReborn::Bayes.new
-classifier.train("cat", "I can has cat")
-# The above method will work, but the following will throw an error
-# classifier.train_cat "I can has cat"
+classifier.train("Cat", "I can has cat")
+classifier.train("Dog", "I don't always bark at night")
 ```
 
 ## Custom Stopwords
@@ -205,15 +203,15 @@ Or suppose you just want the ability to have multiple categories and a `None of
 When you initialize the `ClassifierReborn::Bayes` classifier there are several options which can be set that control threshold processing.
 
 ```ruby
-b = ClassifierReborn::Bayes.new(
-        'good',                 # one or more categories
-        enable_threshold: true, # default: false
-        threshold: -10.0        # default: 0.0
-      )
-b.train_good 'Good stuff from Dobie Gillis'
+classifier = ClassifierReborn::Bayes.new(
+                "Good",                 # one or more categories
+                enable_threshold: true, # default: false
+                threshold: -10.0        # default: 0.0
+              )
+classifier.train "Good", "Good stuff from Dobie Gillis"
 # ...
-text = 'Bad junk from Maynard G. Krebs'
-result = b.classify text
+text = "Bad junk from Maynard G. Krebs"
+result = classifier.classify text
 if result.nil?
   STDERR.puts "ALERT: This is not good: #{text}"
   let_loose_the_dogs_of_war!  # method definition left to the reader
@@ -226,12 +224,12 @@ When you see a nil value returned from the `classify` method it means that none
 ### Threshold-related Convenience Methods
 
 ```ruby
-b.threshold            # get the current threshold
-b.threshold = -10.0    # set the threshold
-b.threshold_enabled?   # Boolean: is the threshold enabled?
-b.threshold_disabled?  # Boolean: is the threshold disabled?
-b.enable_threshold     # enables threshold processing
-b.disable_threshold    # disables threshold processing
+classifier.threshold            # get the current threshold
+classifier.threshold = -10.0    # set the threshold
+classifier.threshold_enabled?   # Boolean: is the threshold enabled?
+classifier.threshold_disabled?  # Boolean: is the threshold disabled?
+classifier.enable_threshold     # enables threshold processing
+classifier.disable_threshold    # disables threshold processing
 ```
 
 Using these convenience methods your applications can dynamically adjust threshold processing as required.
diff --git a/docs/index.md b/docs/index.md
index 76b83e0..60a38dc 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -16,8 +16,8 @@ $ gem install classifier-reborn
 $ irb
 irb(main):001:0> require 'classifier-reborn'
 irb(main):002:0> classifier = ClassifierReborn::Bayes.new 'Ham', 'Spam'
-irb(main):003:0> classifier.train_ham "Sunday is a holiday. Say no to work on Sunday!"
-irb(main):004:0> classifier.train_spam "You are the lucky winner! Claim your holiday prize."
+irb(main):003:0> classifier.train "Ham", "Sunday is a holiday. Say no to work on Sunday!"
+irb(main):004:0> classifier.train "Spam", "You are the lucky winner! Claim your holiday prize."
 irb(main):005:0> classifier.classify "What's the plan for Sunday?"
 #=> "Ham"
 ```
@@ -26,7 +26,7 @@ Here is a line-by-line explanation of what we just did.
 
 * Installed the `classifier-reborn` gem (assuming that [Ruby](https://www.ruby-lang.org/en/) is installed already).
 * Started the Interactive Ruby Shell (IRB).
-* Loaded the `classifier-reborn` gem in the interactive Ruby session. 
+* Loaded the `classifier-reborn` gem in the interactive Ruby session.
 * Created an instance of `Bayesian` classifier with two classes `Ham` and `Spam`.
 * Trained the classifier with an example of `Ham`.
 * Trained the classifier with an example of `Spam`.