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40 changes: 32 additions & 8 deletions TrainingDataGenerator.jl
Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,9 @@ function generateTrainingData()
setindex!(outVariance, tryparse(Float32, lines[i][1:(indexOf(':', lines[i])-1)]), index)
setindex!(outRandType, lines[i+1][1], index)
end

fileName = lines[8+(2+nOutputs)*nInputs + 2*nOutputs][1:(indexOf(':', lines[8+(2+nOutputs)*nInputs + 2*nOutputs])-1)]
format = string(lines[14][end])
else
println("ERROR: could not find file \"trainingDataConfig.txt\"")
end
Expand Down Expand Up @@ -121,6 +123,15 @@ function generateTrainingData()
print("Output file name (don't include file type extension): ")
fileName = readline()

print("Should the output be formatted? (yes: y, no: n) ")
format = readline()
while (format[1] != 'n' && format[1] != 'y')
print("\tAnswer only \"n\" or \"y\" please: ")
format = readline()
if format == "y"
end
end

print("Save settings as config file? (yes: y, no: n) ")
if (readline()[1] == 'y')
config = open("trainingDataConfig.txt", "w")
Expand Down Expand Up @@ -157,13 +168,14 @@ $range: range for input $i")
print(config, "\n")

println(config, "$fileName: output file name")
println(config, "format activated: $format")
close(config)
end
end
writeTrainingData(nInputs, nOutputs, nTrainingExamples, inWeights, inRanges, outVariance, outRandType, fileName)
writeTrainingData(nInputs, nOutputs, nTrainingExamples, format, inWeights, inRanges, outVariance, outRandType, fileName)
end

function writeTrainingData(nInputs::Int32, nOutputs::Int32, nTrainingExamples::Int32, inWeights::Array, inRanges::Array, outVariance::Array, outRandType::Array, fileName::String)
function writeTrainingData(nInputs::Int32, nOutputs::Int32, nTrainingExamples::Int32, format::String, inWeights::Array, inRanges::Array, outVariance::Array, outRandType::Array, fileName::String)
file = open("$fileName.txt", "w")
for i in 1:nTrainingExamples
r = rand(Float32, nInputs)
Expand All @@ -172,15 +184,27 @@ function writeTrainingData(nInputs::Int32, nOutputs::Int32, nTrainingExamples::I
randInputVector[j] = r[j]*inRanges[j][2] + inRanges[j][1]
end
outputs::Array = inWeights*randInputVector
print(file, randInputVector)
if outRandType == 'n'
r = randn(nOutputs)
if format == "y"
print(file, "$i. ", randInputVector, "\n")
if outRandType == 'n'
r = randn(nOutputs)
else
r = rand(Float32, nOutputs)
outputs = outputs + (outVariance .* r .- outVariance/2)
println(file, " ", outputs, "\n ")
end
else
r = rand(Float32, nOutputs)
outputs = outputs + (outVariance .* r .- outVariance/2)
println(file, outputs)
print(file, randInputVector)
if outRandType == 'n'
r = randn(nOutputs)
else
r = rand(Float32, nOutputs)
outputs = outputs + (outVariance .* r .- outVariance/2)
println(file, outputs)
end
end
end
close(file)
end

generateTrainingData()
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