private static void GetKDDSampleInputData(ref IEnumerable <BatchInputWrapper> trainData, ref IEnumerable <BatchInputWrapper> cvData)
{
List <BatchInputWrapper> trainDataList = new List <BatchInputWrapper>();
List <BatchInputWrapper> cvDataList = new List <BatchInputWrapper>();
BatchInputWrapper currentBatch = new BatchInputWrapper(5);
currentBatch.AddStateActionRewardNewStateIsLastEpisodeData(new float[] { 5, 4, 4, 0, 0 }, 4, 9, new float[] { 5, 4, 4, 1, 1 }, 0);
currentBatch.AddStateActionRewardNewStateIsLastEpisodeData(new float[] { 5, 4, 4, 1, 1 }, 3, 11, new float[] { 5, 4, 4, 2, 2 }, 1);
currentBatch.AddStateActionRewardNewStateIsLastEpisodeData(new float[] { 5, 4, 4, 6, 8 }, 0, 11, new float[] { 5, 4, 4, 6, 9 }, 0);
currentBatch.SealBatch();
trainDataList.Add(currentBatch);
trainData = trainDataList.AsEnumerable();
currentBatch = new BatchInputWrapper(5);
//currentBatch.AddStateActionRewardNewStateIsLastEpisodeData(new float[] { 5, 4, 4, 0, 0 }, 4, 9, new float[] { 5, 4, 4, 1, 1 }, 0);
currentBatch.AddStateActionRewardNewStateIsLastEpisodeData(new float[] { 5, 4, 4, 6, 10 }, 4, 10, new float[] { 5, 4, 4, 6, 11 }, 0);
currentBatch.AddStateActionRewardNewStateIsLastEpisodeData(new float[] { 5, 4, 4, 6, 14 }, 1, 10, new float[] { 5, 4, 4, 6, 15 }, 0);
currentBatch.SealBatch();
cvDataList.Add(currentBatch);
cvData = cvDataList.AsEnumerable();
}
static void GetKDDInputData(ref IEnumerable <BatchInputWrapper> trainData, ref IEnumerable <BatchInputWrapper> cvData)
{
const string filename = @"D:\vinods\Data\Donation\lrn_data_220k.txt";
List <Tuple <float[], float, float, float[], float> > formattedData = new List <Tuple <float[], float, float, float[], float> >();
using (StreamReader sr = new StreamReader(filename))
{
string line;
while ((line = sr.ReadLine()) != null)
{
string[] data = line.Split('\t');
var oldState = new float[] { float.Parse(data[2]), float.Parse(data[3]), float.Parse(data[4]), float.Parse(data[5]), float.Parse(data[6]) };
var actionIndex = float.Parse(data[7]);
var reward = float.Parse(data[8]);
var newState = new float[] { float.Parse(data[9]), float.Parse(data[10]), float.Parse(data[11]), float.Parse(data[12]), float.Parse(data[13]) };
var isLastEpisode = string.Equals(data[1], "21") ? (float)1 : (float)0;
formattedData.Add(Tuple.Create <float[], float, float, float[], float>(oldState, actionIndex, reward, newState, isLastEpisode));
}
}
Random rnd = new Random();
for (int i = formattedData.Count - 1; i >= 0; i--)
{
int swapIndex = rnd.Next(i + 1);
var tmp = formattedData.ElementAt(i);
formattedData[i] = formattedData.ElementAt(swapIndex);
formattedData[swapIndex] = tmp;
}
int cutIndex = (int)(formattedData.Count * 0.8);
int stateDimension = 5;
// Creating train batches
BatchInputWrapper currentBatch = new BatchInputWrapper(stateDimension);
List <BatchInputWrapper> trainDataList = new List <BatchInputWrapper>();
foreach (var item in formattedData.GetRange(0, cutIndex))
{
if (!currentBatch.IsFull)
{
currentBatch.AddStateActionRewardNewStateIsLastEpisodeData(item.Item1, item.Item2, item.Item3, item.Item4, item.Item5);
}
else
{
currentBatch.SealBatch();
trainDataList.Add(currentBatch);
currentBatch = new BatchInputWrapper(stateDimension);
}
}
currentBatch.SealBatch();
trainDataList.Add(currentBatch);
trainData = trainDataList.AsEnumerable();
// Creating test batches
currentBatch = new BatchInputWrapper(stateDimension);
List <BatchInputWrapper> testDataList = new List <BatchInputWrapper>();
foreach (var item in formattedData.GetRange(cutIndex, formattedData.Count - cutIndex))
{
if (!currentBatch.IsFull)
{
currentBatch.AddStateActionRewardNewStateIsLastEpisodeData(item.Item1, item.Item2, item.Item3, item.Item4, item.Item5);
}
else
{
currentBatch.SealBatch();
testDataList.Add(currentBatch);
currentBatch = new BatchInputWrapper(stateDimension);
}
}
currentBatch.SealBatch();
testDataList.Add(currentBatch);
cvData = testDataList.AsEnumerable();
}
static void GetKDDInputData(ref IEnumerable<BatchInputWrapper> trainData, ref IEnumerable<BatchInputWrapper> cvData)
{
const string filename = @"D:\vinods\Data\Donation\lrn_data_220k.txt";
List<Tuple<float[], float, float, float[], float>> formattedData = new List<Tuple<float[], float, float, float[], float>>();
using (StreamReader sr = new StreamReader(filename))
{
string line;
while ((line = sr.ReadLine()) != null)
{
string[] data = line.Split('\t');
var oldState = new float[] { float.Parse(data[2]), float.Parse(data[3]), float.Parse(data[4]), float.Parse(data[5]), float.Parse(data[6]) };
var actionIndex = float.Parse(data[7]);
var reward = float.Parse(data[8]);
var newState = new float[] { float.Parse(data[9]), float.Parse(data[10]), float.Parse(data[11]), float.Parse(data[12]), float.Parse(data[13]) };
var isLastEpisode = string.Equals(data[1], "21") ? (float)1 : (float)0;
formattedData.Add(Tuple.Create<float[], float, float, float[], float>(oldState, actionIndex, reward, newState, isLastEpisode));
}
}
Random rnd = new Random();
for (int i = formattedData.Count - 1; i >= 0; i--)
{
int swapIndex = rnd.Next(i + 1);
var tmp = formattedData.ElementAt(i);
formattedData[i] = formattedData.ElementAt(swapIndex);
formattedData[swapIndex] = tmp;
}
int cutIndex = (int)(formattedData.Count * 0.8);
int stateDimension = 5;
// Creating train batches
BatchInputWrapper currentBatch = new BatchInputWrapper(stateDimension);
List<BatchInputWrapper> trainDataList = new List<BatchInputWrapper>();
foreach (var item in formattedData.GetRange(0, cutIndex))
{
if (!currentBatch.IsFull)
{
currentBatch.AddStateActionRewardNewStateIsLastEpisodeData(item.Item1, item.Item2, item.Item3, item.Item4, item.Item5);
}
else
{
currentBatch.SealBatch();
trainDataList.Add(currentBatch);
currentBatch = new BatchInputWrapper(stateDimension);
}
}
currentBatch.SealBatch();
trainDataList.Add(currentBatch);
trainData = trainDataList.AsEnumerable();
// Creating test batches
currentBatch = new BatchInputWrapper(stateDimension);
List<BatchInputWrapper> testDataList = new List<BatchInputWrapper>();
foreach (var item in formattedData.GetRange(cutIndex, formattedData.Count - cutIndex))
{
if (!currentBatch.IsFull)
{
currentBatch.AddStateActionRewardNewStateIsLastEpisodeData(item.Item1, item.Item2, item.Item3, item.Item4, item.Item5);
}
else
{
currentBatch.SealBatch();
testDataList.Add(currentBatch);
currentBatch = new BatchInputWrapper(stateDimension);
}
}
currentBatch.SealBatch();
testDataList.Add(currentBatch);
cvData = testDataList.AsEnumerable();
}
private static void GetKDDSampleInputData(ref IEnumerable<BatchInputWrapper> trainData, ref IEnumerable<BatchInputWrapper> cvData)
{
List<BatchInputWrapper> trainDataList = new List<BatchInputWrapper>();
List<BatchInputWrapper> cvDataList = new List<BatchInputWrapper>();
BatchInputWrapper currentBatch = new BatchInputWrapper(5);
currentBatch.AddStateActionRewardNewStateIsLastEpisodeData(new float[] { 5, 4, 4, 0, 0 }, 4, 9, new float[] { 5, 4, 4, 1, 1 }, 0);
currentBatch.AddStateActionRewardNewStateIsLastEpisodeData(new float[] { 5, 4, 4, 1, 1 }, 3, 11, new float[] { 5, 4, 4, 2, 2 }, 1);
currentBatch.AddStateActionRewardNewStateIsLastEpisodeData(new float[] { 5, 4, 4, 6, 8 }, 0, 11, new float[] { 5, 4, 4, 6, 9 }, 0);
currentBatch.SealBatch();
trainDataList.Add(currentBatch);
trainData = trainDataList.AsEnumerable();
currentBatch = new BatchInputWrapper(5);
//currentBatch.AddStateActionRewardNewStateIsLastEpisodeData(new float[] { 5, 4, 4, 0, 0 }, 4, 9, new float[] { 5, 4, 4, 1, 1 }, 0);
currentBatch.AddStateActionRewardNewStateIsLastEpisodeData(new float[] { 5, 4, 4, 6, 10 }, 4, 10, new float[] { 5, 4, 4, 6, 11 }, 0);
currentBatch.AddStateActionRewardNewStateIsLastEpisodeData(new float[] { 5, 4, 4, 6, 14 }, 1, 10, new float[] { 5, 4, 4, 6, 15 }, 0);
currentBatch.SealBatch();
cvDataList.Add(currentBatch);
cvData = cvDataList.AsEnumerable();
}
