Module: VK
- Defined in:
- lib/valkey/objects.rb
Defined Under Namespace
Classes: BOOK, CORPUS, COUNTER, CRi, HASH, HASHLIST, O, PLACE, QUEUE, SET, SORTEDHASH, SORTEDSET, TIMESTAMP, TOGGLE, VALUE, VECTOR
Constant Summary collapse
- @@XX =
{}
- @@SENTIMENT_THRESHOLD =
0.9
- @@CRi =
Hash.new { |h,k| h[k] = CRi.new(k) }
- @@VI =
Hash.new { |h,k| h[k] = [] }
- @@VC =
Hash.new { |h,k| h[k] = Knn::Classifier.new(@@VI[k], SquaredEuclideanCalculator) }
- @@TOKENIZER =
Tokenizer::WhitespaceTokenizer.new(:en)
- @@WORDLIST =
CORPUS.new(%[WORDLIST])
Class Method Summary collapse
- .at(epoch) ⇒ Object
-
.classify(a, b) ⇒ Object
Bayesean Classification.
- .clock(*t) ⇒ Object
- .embed(i) ⇒ Object
- .extended(x) ⇒ Object
-
.feels(x) ⇒ Object
Sentiment Analysis.
- .flushdb! ⇒ Object
- .included(x) ⇒ Object
-
.index ⇒ Object
Vector Indexing.
- .keys(k = '*') ⇒ Object
- .learn(fact, index) ⇒ Object
- .redis ⇒ Object
- .threshold(n) ⇒ Object
- .threshold=(n) ⇒ Object
- .tokenize(i) ⇒ Object
- .txt(f, &b) ⇒ Object
-
.vector(vectors, size) ⇒ Object
Vector Engine.
- .wordlist ⇒ Object
Instance Method Summary collapse
Class Method Details
.at(epoch) ⇒ Object
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# File 'lib/valkey/objects.rb', line 209 def self.at epoch Time.at epoch end |
.classify(a, b) ⇒ Object
Bayesean Classification
Determine the A OR B of an example.
VK.classify(“catagory A”, “Catagory B”).
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# File 'lib/valkey/objects.rb', line 234 def self.classify(a, b) ClassifierReborn::Bayes.new(a, b) end |
.clock(*t) ⇒ Object
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# File 'lib/valkey/objects.rb', line 213 def self.clock *t if t[0] Time.now.utc.to_i - t[0].to_i else Time.now.utc.to_i end end |
.embed(i) ⇒ Object
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# File 'lib/valkey/objects.rb', line 792 def self. i m = VK.tokenize(i).map { |e| VK.wordlist[e].to_f } return [m, Array.new(2048 - m.length, 0.0)].flatten end |
.extended(x) ⇒ Object
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# File 'lib/valkey/objects.rb', line 25 def self.extended(x) ## # Example: # class ExmpleObject # include VK # ## Add Object Containers by Value Type: # value :myValue # counter :myCounter # hashkey :myHashKey # sortedset :mySortedSet # set :mySet # queue :myQueue # place :myPlace # toggle :myToggle # ticker :myTicker # entry :myEntry # ## Add an Object Container With an Implicit Expiration: # value :myExpiringValue, ttl: (seconds to live without interaction) # # def initialize k # @id = k # end # end ## # Create the Object: # @obj = ExampleObject.new('object id...') ## # For all object methods: # @obj.myObjectContainer.expire(seconds) # @obj.myObjectContainer.delete! # xx = x.name.gsub("::", "-") ## # Object Method Types: ## # A String Value ## # value :myValue # @obj.myValue # @obj.myValue.exist? # @obj.myValue.value = "my value" # @obj.myValue.value => "my value" define_method(:value) { |k, h={}| define_method(k.to_sym) { VALUE.new(%[#{xx}:value:#{k}:#{@id}], h) } }; ## # A Number Value ## # counter :myCounter # @obj.myCounter # @obj.myCounter.exist? # @obj.myCounter.value = number # @obj.myCounter.value => number # @obj.myCounter.incr number # @obj.myCounter.decr number # define_method(:counter) { |k, h={}| define_method(k.to_sym) { COUNTER.new(%[#{xx}:counter:#{k}:#{@id}], h); } }; ## # An Epoch Value ## # timestamp :myTimestamp # @obj.myTimestamp # @obj.myTimestamp.exist? # @obj.myTimestamp.value! # @obj.myTimestamp.value => epoch # @obj.myTimestamp.ago => Seconds since epoch # @obj.myTimestamp.to_time => Time object define_method(:timestamp) { |k, h={}| define_method(k.to_sym) { TIMESTAMP.new(%[#{xx}:timestamp:#{k}:#{@id}], h) } } ## # A Hash Value ## # hashkey :myHashKey # @obj.myHashKey # @obj.myHashKey[:key] = value # @obj.myHashKey[:key] => "value" # @obj.myHashKey.update({ key: 'value', ... }) define_method(:hashkey) { |k, h={}| define_method(k.to_sym) { HASH.new(%[#{xx}:hashkey:#{k}:#{@id}], h); } }; ## # A Sorted Set Value ## # sortedset :mySortedSet # @obj.mySortedSet # @obj.mySortedSet[:key] = value # @obj.mySortedSet[:key] => ... # @obj.mySortedSet.value { |key, i| ... } # @obj.mySortedSet.poke key, number # define_method(:sortedset) { |k, h={}| define_method(k.to_sym) { SORTEDSET.new(%[#{xx}:sortedset:#{k}:#{@id}], h); } }; ## # A Collection of Values ## # set :mySet # @obj.mySet # @obj.mySet << "x" # @obj.myset.rm "x" # @obj.mySet & @obj.otherSet # @obj.mySet | @obj.otherSet # @obj.myset["pattern"] # @obj.mySet.value { |key, i| ... } # define_method(:set) { |k, h={}| define_method(k.to_sym) { SET.new(%[#{xx}:set:#{k}:#{@id}], h); } }; ## # A List of Values ## # queue :myQueue # @obj.myQueue # @obj.myQueue << "x" # @obj.myQueue.front => "x" and pop # @obj.myQueue.last => last in queue # @obj.myQueue.value { |key, i| ... } # define_method(:queue) { |k, h={}| define_method(k.to_sym) { QUEUE.new(%[#{xx}:queue:#{k}:#{@id}], h); } }; ## # A Collection of Places ## # place :myPlace # @obj.myPlace # @obj.myPlace.add "key", longitude, latitude # @obj.myPlace["key"] => { longitude: xx, latitude: yy } # @obj.myPlace.distance "key", "other key" # @obj.myPlace.radius longitude, latitude, distance # @obj.myPlace.value { |key, i| ... } # define_method(:place) { |k, h={}| define_method(k.to_sym) { PLACE.new(%[#{xx}:place:#{k}:#{@id}], h); } }; ## # A Boolean Value ## # toggle :myToggle # @obj.myToggle # @obj.myToggle.exist? # @obj.myToggle.value = bool # @obj.myToggle.value => ... # @obj.myToggle.value! => value = !value # define_method(:toggle) { |k, h={}| define_method(k.to_sym) { TOGGLE.new(%[#{xx}:toggle:#{k}:#{@id}], h); } }; ## # A Sorted Hash of Values ## # ticker :myTicker # @obj.myTicker # @obj.myTicker[:key] = value # @obj.myTicker[:key] => "value" # @obj.myticker.value { |i,e| ... } define_method(:ticker) { |k, h={}| define_method(k.to_sym) { SORTEDHASH.new(%[#{xx}:ticker:#{k}:#{@id}], h); } }; ## # A List of Hashes ## # entry :myEntry # @obj.myEntry # @obj.myEntry << { key: 'value', ... } # @obj.myEntry.value { |i,e| ... } define_method(:entry) { |k, h={}| define_method(k.to_sym) { HASHLIST.new(%[#{xx}:entry:#{k}:#{@id}], h); } }; ## # A list of Strings ## # vector :myVector # @obj.myVector # @obj.myVector << "An Entry of Text." # @obj.myVector.value { |i,e| ... } # @obj.myvector[0] = "An Entry of Text." define_method(:vector) { |k, h={}| define_method(k.to_sym) { VECTOR.new(%[#{xx}:vector:#{k}:#{@id}], h); } }; ## # An ordered list of strings. ## # vector :myCorpus # @obj.myCorpus # @obj.myCorpus.value { |i,e| ... } # @obj.myCorpus["An entry"] => 5 define_method(:corpus) { |k, h={}| define_method(k.to_sym) { CORPUS.new(%[#{xx}:corpus:#{k}:#{@id}], h); } }; ## # An ordered list of strings. ## # book :myBook # @obj.myBook # @obj.myBook.value { |index,entry,embedding| ... } # @obj.mybook.near("Some entry") => [...] # @obj.myBook["An entry"] => 5 define_method(:book) { |k, h={}| define_method(k.to_sym) { BOOK.new(%[#{xx}:book:#{k}:#{@id}], h); } }; end |
.feels(x) ⇒ Object
Sentiment Analysis.
VK.feels(“Some text”)
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# File 'lib/valkey/objects.rb', line 245 def self.feels x Sentimental.new(threshold: @@SENTIMENT_THRESHOLD).sentiment end |
.flushdb! ⇒ Object
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# File 'lib/valkey/objects.rb', line 797 def self.flushdb! VK.redis.call("FLUSHDB") end |
.included(x) ⇒ Object
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# File 'lib/valkey/objects.rb', line 21 def self.included(x) x.extend VK end |
.index ⇒ Object
Vector Indexing
Vector (of text) -> concept (index)
-
Find text concept based upon known examples.
-
Learn new examples of a concept.
-
Find examples from within clusters.
index[‘Text to classify’] => :index index.learn(“Text to classify”, :index) index.search(“Similar text.”, 5) => [“Similar text?”, “other similar text”, …]
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# File 'lib/valkey/objects.rb', line 276 def self.index @@CRi end |
.keys(k = '*') ⇒ Object
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# File 'lib/valkey/objects.rb', line 801 def self.keys k='*' VK.redis.call("KEYS", k) end |
.learn(fact, index) ⇒ Object
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# File 'lib/valkey/objects.rb', line 777 def self.learn fact, index @@CRi[index.to_sym].learn fact, index @@VI[index] << fact end |
.redis ⇒ Object
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# File 'lib/valkey/objects.rb', line 221 def self.redis @redis ||= ConnectionPool::Wrapper.new do RedisClient.config(host: "127.0.0.1", port: 6379, db: 0).new_client end end |
.threshold(n) ⇒ Object
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# File 'lib/valkey/objects.rb', line 238 def self.threshold n @@SENTIMENT_THRESHOLD = n end |
.threshold=(n) ⇒ Object
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# File 'lib/valkey/objects.rb', line 734 def self.threshold= n @@SENTIMENT_THRESHOLD = n end |
.tokenize(i) ⇒ Object
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# File 'lib/valkey/objects.rb', line 783 def self.tokenize i @@TOKENIZER.tokenize(i) end |
.txt(f, &b) ⇒ Object
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# File 'lib/valkey/objects.rb', line 805 def self.txt f, &b x = File.read(f).gsub(/\n\n+/,"\n\n").gsub(/ +/, " ").split("\n\n").map { |e| e.gsub(/\n/, " ") } if block_given? x.map { |e| b.call(e) } else return x end end |
.vector(vectors, size) ⇒ Object
Vector Engine
Return known string based upon nearest neighbor by vector of number.
vector([[“return val”, 0, 1, 2, …], …]).classify([“guess”, 0, 1, 2, …]) => “return val”
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# File 'lib/valkey/objects.rb', line 285 def self.vector vectors, size Knn::Classifier.new(vectors, SquaredEuclideanCalculator) end |
.wordlist ⇒ Object
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# File 'lib/valkey/objects.rb', line 788 def self.wordlist @@WORDLIST end |
Instance Method Details
#id ⇒ Object
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# File 'lib/valkey/objects.rb', line 205 def id @id end |