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Sum approaching 1: (1..10000).map { Pickup.new({"X1" => 0.11, "Y" => 0.78, "X2" => 0.11}).pick() }
Result frequency table (actual): [["X1", 10000]]
Comment: One of the elements was chosen always, and it has one of the 2 smallest weights
Sum above 1, but with a small element: (1..10000).map { Pickup.new({"X" => 0.11, "Y" => 1.01, "Z" => 1.11}).pick() }
Result frequency table (actual): [["Y", 4925], ["X", 5075]]
Comment: No Z in the results, this might already be reported in #7
Sum above 1, each weight at least twice as big/small as the other two: (1..10000).map { Pickup.new({"X" => 0.11, "Y" => 1.01, "Z" => 2.11}).pick() }
Result frequency table (actual): [["Z", 3323], ["X", 3333], ["Y", 3344]]
Comment: Items in the result have equal distribution, albeit input weights for X and Z having >19 times difference
P.s. Frequency tables calculated via this helper function:
def frequency_table(collection)
table = collection.inject(Hash.new(0)) { |hash, element| hash[element] += 1; hash }
table.sort_by { |_key, value| value }
end
The text was updated successfully, but these errors were encountered:
skyuchukov-bp
changed the title
Unexpected Pickup statistics with float weights
Unexpected Pickup statistics with small float weights
Jul 6, 2020
Pickup gem version: 0.0.11
Test cases:
Sum approaching 1:
(1..10000).map { Pickup.new({"X1" => 0.11, "Y" => 0.78, "X2" => 0.11}).pick() }
Result frequency table (actual): [["X1", 10000]]
Comment: One of the elements was chosen always, and it has one of the 2 smallest weights
Sum above 1, but with a small element:
(1..10000).map { Pickup.new({"X" => 0.11, "Y" => 1.01, "Z" => 1.11}).pick() }
Result frequency table (actual): [["Y", 4925], ["X", 5075]]
Comment: No Z in the results, this might already be reported in #7
Sum above 1, each weight at least twice as big/small as the other two:
(1..10000).map { Pickup.new({"X" => 0.11, "Y" => 1.01, "Z" => 2.11}).pick() }
Result frequency table (actual): [["Z", 3323], ["X", 3333], ["Y", 3344]]
Comment: Items in the result have equal distribution, albeit input weights for X and Z having >19 times difference
P.s. Frequency tables calculated via this helper function:
The text was updated successfully, but these errors were encountered: