Delete load_estimation_model.lua

load_estimation_model.lua

@@ -1,29 +0,0 @@
-require 'torch'   -- torch
-require 'optim'
-require 'nn'      -- provides a normalization operator
-
-function string:split(sep)
-  local sep, fields = sep, {}
-  local pattern = string.format("([^%s]+)", sep)
-  self:gsub(pattern, function(substr) fields[#fields + 1] = substr end)
-  return fields
-end
-local f_file = io.open(arg[1], 'r')
-local data = torch.Tensor(1, 351)
-for line in f_file:lines('*l') do
-local l = line:split(',')
-first = true
-	for key, val in ipairs(l) do
-	  if first == false then
-	  data[1][key] = val
-	  else data[1][key] = 0
-	  first = false
-	  end
-	end
-end
-
-local X = data[{{},{2,-1}}]
-model = torch.load('estimation_model.dat')
-local myPrediction = model:forward(X)
-print('F1:', myPrediction[1][1], 'F2:', myPrediction[1][2], 'F3:', myPrediction[1][3], 'F4:', myPrediction[1][4])
-