SparseVector: from_a

2 files changed, 4 insertions, 43 deletions

diff --git a/lib/nlp_ruby/SparseVector.rb b/lib/nlp_ruby/SparseVector.rb
index 964ef4e..a4e2bce 100644
--- a/lib/nlp_ruby/SparseVector.rb
+++ b/lib/nlp_ruby/SparseVector.rb
@@ -5,6 +5,10 @@ class SparseVector < Hash
     self.default = 0
   end
 
+  def from_a a
+    a.each_with_index { |i,j| self[j] = i }
+  end
+
   def from_h h
     h.each_pair { |k,v| self[k] = v }
   end
diff --git a/lib/nlp_ruby/Vector.rb b/lib/nlp_ruby/Vector.rb
deleted file mode 100644
index c749ed9..0000000
--- a/lib/nlp_ruby/Vector.rb
+++ /dev/null
@@ -1,43 +0,0 @@
-class Vector < Array
-
-  def sum
-    self.inject(:+)
-  end
-
-  def average
-    self.sum/self.size.to_f
-  end
-
-  def variance
-    avg = self.average
-    var = 0.0
-    self.each { |i| var += (avg - i)**2 }
-    var
-  end
-
-  def stddev list_of_values, decimal_places=-1
-    Math.sqrt self.variance
-  end
-
-  def dot other
-    return nil if self.size!=other.size
-    sum = 0.0
-    self.each_with_index { |i,j| sum += i*other[j] }
-    return sum
-  end
-
-  def magnitude
-     Math.sqrt self.inject { |sum,i| sum+i**2 }
-  end
-
-  def cosinus_sim other
-    return self.dot(other)/(self.mag*other.mag)
-  end
-
-  def euclidian_dist other
-    sum = 0.0
-    self.each_with_index { |i,j| sum += (i - other[j])**2 }
-    return Math.sqrt(sum)
-  end
-end
-