AdjustEdge(const char *payload, long int occurrence) | Markov::Model< char > | |
Buff(const char *str, double multiplier, bool bDontAdjustSelfLoops=true, bool bDontAdjustExtendedLoops=false) | Markov::API::MarkovPasswords | |
datasetFile | Markov::API::MarkovPasswords | private |
Edges() | Markov::Model< char > | inline |
edges | Markov::Model< char > | private |
Export(str filename) | Python.Markopy.MarkovModel | |
Markov::API::MarkovPasswords.Export(std::ofstream *) | Markov::Model< char > | |
Markov::API::MarkovPasswords.Export(const char *filename) | Markov::Model< char > | |
Generate(int count, str wordlist, int minlen, int maxlen, int threads) | Python.Markopy.MarkovModel | |
Markov::API::MarkovPasswords.Generate(unsigned long int n, const char *wordlistFileName, int minLen=6, int maxLen=12, int threads=20) | Markov::API::MarkovPasswords | |
GenerateThread(std::mutex *outputLock, unsigned long int n, std::ofstream *wordlist, int minLen, int maxLen) | Markov::API::MarkovPasswords | private |
Import(str filename) | Python.Markopy.MarkovModel | |
Markov::API::MarkovPasswords.Import(std::ifstream *) | Markov::Model< char > | |
Markov::API::MarkovPasswords.Import(const char *filename) | Markov::Model< char > | |
MarkovPasswords() | Markov::API::MarkovPasswords | |
MarkovPasswords(const char *filename) | Markov::API::MarkovPasswords | |
Model() | Markov::Model< char > | |
modelSavefile | Markov::API::MarkovPasswords | private |
Nodes() | Markov::Model< char > | inline |
nodes | Markov::Model< char > | private |
OpenDatasetFile(const char *filename) | Markov::API::MarkovPasswords | |
OptimizeEdgeOrder() | Markov::Model< char > | |
outputFile | Markov::API::MarkovPasswords | private |
RandomWalk(Markov::Random::RandomEngine *randomEngine, int minSetting, int maxSetting, char *buffer) | Markov::Model< char > | |
Save(const char *filename) | Markov::API::MarkovPasswords | |
starterNode | Markov::Model< char > | private |
StarterNode() | Markov::Model< char > | inline |
Train(str dataset, str seperator, int threads) | Python.Markopy.MarkovModel | |
Markov::API::MarkovPasswords.Train(const char *datasetFileName, char delimiter, int threads) | Markov::API::MarkovPasswords | |
TrainThread(Markov::API::Concurrency::ThreadSharedListHandler *listhandler, char delimiter) | Markov::API::MarkovPasswords | private |