test/fit.rb in compsci-0.1.1.1 vs test/fit.rb in compsci-0.2.0.1

@@ -25,25 +25,19 @@
       Fit.error([[1, 1], [2, 2], [3, 4]]) { |x| x }.must_be_close_to 0.785
     end
   end
 
   # y = a
+  # Note: Thinking about dropping this.
+  #       I don't know how to test the variance for constantness or any
+  #       alternate measure.  A low slope and r2 for linear fit, maybe.
+  #
   describe "Fit.constant" do
-    it "must accept constant data" do
+    it "must stuff" do
       [0, 1, 10, 100, 1000, 9999].each { |a|
         y_bar, variance = Fit.constant(@xs, @xs.map { |x| a })
         y_bar.must_equal a
         variance.must_equal 0
-      }
-    end
-
-    # note, this test can possibly fail depending on the uniformity of
-    # rand's output for our sample
-    it "must accept noisy constant data" do
-      [0, 1, 10, 100, 1000, 9999].each { |a|
-        y_bar, variance = Fit.constant(@xs, @xs.map { |x| a + noise() })
-        y_bar.must_be_close_to a, 0.3
-        (variance / @xs.size).must_be_close_to 0.1, 0.09
       }
     end
   end
 
   # y = a + b*ln(x)