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MarkovGrams
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Add achp (average choice-point-ratio) calculation

This commit is contained in:
Starbeamrainbowlabs 2018-09-03 16:21:38 +01:00
parent d99692ff1c
commit 22faead8b4
Signed by: sbrl
GPG Key ID: 1BE5172E637709C2
3 changed files with 36 additions and 8 deletions
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17
MarkovGrams/Program.cs
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@ -90,6 +90,7 @@ namespace MarkovGrams
return word.Split(' '); return word.Split(' ');
return new string[] { word.Trim() }; return new string[] { word.Trim() };
}); });
List<float> choicePointRatios = new List<float>();
switch (operationMode) switch (operationMode)
{ {
@ -101,9 +102,11 @@ namespace MarkovGrams
); );
unweightedChain.StartOnUppercase = startOnUppercase; unweightedChain.StartOnUppercase = startOnUppercase;
for (int i = 0; i < count; i++) for (int i = 0; i < count; i++) {
Console.WriteLine(unweightedChain.Generate(length)); Console.WriteLine(unweightedChain.Generate(length, out float nextChoicePathRatio));
Console.Error.WriteLine($"{count} words in {utimer.ElapsedMilliseconds}ms"); choicePointRatios.Add(nextChoicePathRatio);
}
Console.Error.WriteLine($"{count} words in {utimer.ElapsedMilliseconds}ms (average choice-point-ratio: {Math.Round(choicePointRatios.Sum()/count, 2)})");
break; break;
case Mode.WeightedMarkov: case Mode.WeightedMarkov:
@ -114,9 +117,11 @@ namespace MarkovGrams
); );
weightedChain.StartOnUppercase = startOnUppercase; weightedChain.StartOnUppercase = startOnUppercase;
for (int i = 0; i < count; i++) for (int i = 0; i < count; i++) {
Console.WriteLine(weightedChain.Generate(length)); Console.WriteLine(weightedChain.Generate(length, out float nextChoicePointRatio));
Console.Error.WriteLine($"{count} words in {wtimer.ElapsedMilliseconds}ms"); choicePointRatios.Add(nextChoicePointRatio);
}
Console.Error.WriteLine($"{count} words in {wtimer.ElapsedMilliseconds}ms (average choice-point-ratio: {Math.Round(choicePointRatios.Sum() / count, 2)})");
break; break;
case Mode.NGrams: case Mode.NGrams:

13
MarkovGrams/UnweightedMarkovChain.cs
View File

@ -66,15 +66,21 @@ namespace MarkovGrams
/// </param> /// </param>
/// <returns>A new random string.</returns> /// <returns>A new random string.</returns>
public string Generate(int length) public string Generate(int length)
{
return Generate(length, out float noop);
}
public string Generate(int length, out float choicePointRatio)
{ {
string result = RandomNgram(); string result = RandomNgram();
string lastNgram = result; string lastNgram = result;
List<int> choiceCounts = new List<int>(); int i = 0;
while((Mode == GenerationMode.CharacterLevel ? result.Length : result.Split(' ').Length) < length) while((Mode == GenerationMode.CharacterLevel ? result.Length : result.Split(' ').Length) < length)
{ {
// The substring that the next ngram in the chain needs to start with // The substring that the next ngram in the chain needs to start with
string nextStartsWith = Mode == GenerationMode.CharacterLevel ? lastNgram.Substring(1) : lastNgram.Split(' ').Last(); string nextStartsWith = Mode == GenerationMode.CharacterLevel ? lastNgram.Substring(1) : lastNgram.Split(' ').Last();
// Get a list of possible n-grams we could choose from next // Get a list of possible n-grams we could choose from next
List<string> nextNgrams = ngrams.FindAll(gram => gram.StartsWith(nextStartsWith)); List<string> nextNgrams = ngrams.FindAll(gram => gram.StartsWith(nextStartsWith));
choiceCounts.Add(nextNgrams.Count);
// If there aren't any choices left, we can't exactly keep adding to the new string any more :-( // If there aren't any choices left, we can't exactly keep adding to the new string any more :-(
if(nextNgrams.Count == 0) if(nextNgrams.Count == 0)
break; break;
@ -85,9 +91,14 @@ namespace MarkovGrams
result += nextNgram[nextNgram.Length - 1]; result += nextNgram[nextNgram.Length - 1];
else else
result += ' ' + string.Join(" ", nextNgram.Split(' ').Skip(1)); result += ' ' + string.Join(" ", nextNgram.Split(' ').Skip(1));
lastNgram = nextNgram;
lastNgram = nextNgram; i++;
} }
if (choiceCounts.Sum() > 0)
choicePointRatio = (float)choiceCounts.Sum() / (float)(i + 1);
else
choicePointRatio = 0;
return result; return result;
} }
} }

14
MarkovGrams/WeightedMarkovChain.cs
View File

@ -80,9 +80,14 @@ namespace MarkovGrams
/// </param> /// </param>
/// <returns>A new random string.</returns> /// <returns>A new random string.</returns>
public string Generate(int length) public string Generate(int length)
{
return Generate(length, out float noop);
}
public string Generate(int length, out float choicePointRatio)
{ {
string result = RandomNgram(); string result = RandomNgram();
string lastNgram = result; string lastNgram = result;
List<int> choiceCounts = new List<int>(); int i = 0;
while((Mode == GenerationMode.CharacterLevel ? result.Length : result.Split(' ').Length) < length) while((Mode == GenerationMode.CharacterLevel ? result.Length : result.Split(' ').Length) < length)
{ {
wrandom.ClearContents(); wrandom.ClearContents();
@ -92,6 +97,8 @@ namespace MarkovGrams
Dictionary<string, double> convNextNgrams = new Dictionary<string, double>(); Dictionary<string, double> convNextNgrams = new Dictionary<string, double>();
ngrams.Where(gram_data => gram_data.Key.StartsWith(nextStartsWith)) ngrams.Where(gram_data => gram_data.Key.StartsWith(nextStartsWith))
.ForEach((KeyValuePair<string, double> ngramData) => convNextNgrams.Add(ngramData.Key, ngramData.Value)); .ForEach((KeyValuePair<string, double> ngramData) => convNextNgrams.Add(ngramData.Key, ngramData.Value));
choiceCounts.Add(convNextNgrams.Count);
// If there aren't any choices left, we can't exactly keep adding to the new string any more :-( // If there aren't any choices left, we can't exactly keep adding to the new string any more :-(
if(convNextNgrams.Count() == 0) if(convNextNgrams.Count() == 0)
break; break;
@ -103,9 +110,14 @@ namespace MarkovGrams
result += nextNgram[nextNgram.Length - 1]; result += nextNgram[nextNgram.Length - 1];
else else
result += ' ' + string.Join(" ", nextNgram.Split(' ').Skip(1)); result += ' ' + string.Join(" ", nextNgram.Split(' ').Skip(1));
lastNgram = nextNgram; lastNgram = nextNgram; i++;
} }
wrandom.ClearContents(); wrandom.ClearContents();
if (choiceCounts.Sum() > 0)
choicePointRatio = (float)choiceCounts.Sum() / (float)(i + 1);
else
choicePointRatio = 0;
return result; return result;
} }
} }