private static Action <LatentDirichletAllocationTransformer.LdaSummary> Wrap(LdaFitResult.OnFit onFit)
{
if (onFit == null)
{
return(null);
}
return(ldaTopicSummary => onFit(new LdaFitResult(ldaTopicSummary)));
}
/// <include file='../Microsoft.ML.Transforms/Text/doc.xml' path='doc/members/member[@name="LightLDA"]/*' />
/// <param name="input">A vector of floats representing the document.</param>
/// <param name="numTopic">The number of topics.</param>
/// <param name="alphaSum">Dirichlet prior on document-topic vectors.</param>
/// <param name="beta">Dirichlet prior on vocab-topic vectors.</param>
/// <param name="mhstep">Number of Metropolis Hasting step.</param>
/// <param name="numIterations">Number of iterations.</param>
/// <param name="likelihoodInterval">Compute log likelihood over local dataset on this iteration interval.</param>
/// <param name="numThreads">The number of training threads. Default value depends on number of logical processors.</param>
/// <param name="numMaxDocToken">The threshold of maximum count of tokens per doc.</param>
/// <param name="numSummaryTermPerTopic">The number of words to summarize the topic.</param>
/// <param name="numBurninIterations">The number of burn-in iterations.</param>
/// <param name="resetRandomGenerator">Reset the random number generator for each document.</param>
/// <param name="onFit">Called upon fitting with the learnt enumeration on the dataset.</param>
public static Vector <float> ToLdaTopicVector(this Vector <float> input,
int numTopic = LatentDirichletAllocationEstimator.Defaults.NumTopic,
Single alphaSum = LatentDirichletAllocationEstimator.Defaults.AlphaSum,
Single beta = LatentDirichletAllocationEstimator.Defaults.Beta,
int mhstep = LatentDirichletAllocationEstimator.Defaults.Mhstep,
int numIterations = LatentDirichletAllocationEstimator.Defaults.NumIterations,
int likelihoodInterval = LatentDirichletAllocationEstimator.Defaults.LikelihoodInterval,
int numThreads = LatentDirichletAllocationEstimator.Defaults.NumThreads,
int numMaxDocToken = LatentDirichletAllocationEstimator.Defaults.NumMaxDocToken,
int numSummaryTermPerTopic = LatentDirichletAllocationEstimator.Defaults.NumSummaryTermPerTopic,
int numBurninIterations = LatentDirichletAllocationEstimator.Defaults.NumBurninIterations,
bool resetRandomGenerator = LatentDirichletAllocationEstimator.Defaults.ResetRandomGenerator,
LdaFitResult.OnFit onFit = null)
{
Contracts.CheckValue(input, nameof(input));
return(new ImplVector(input,
new Config(numTopic, alphaSum, beta, mhstep, numIterations, likelihoodInterval, numThreads, numMaxDocToken, numSummaryTermPerTopic,
numBurninIterations, resetRandomGenerator, Wrap(onFit))));
}
