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Stephen Bruestle


Last seen: alrededor de 4 años hace |  Con actividad desde 2018

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Estadística

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Is there a way to automatically calculate the batch mean standard error of the training perplexity of fitlda?
I answered this question myself. While I have found no precise way to calculate batch mean standard error, I have found that y...

más de 5 años hace | 0

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Respondida
Can I get more precise answers in the verbose option of fitlda.
I discovered the answer myself. The answer is yes. Instead of relying on the verbose (printed) output, you rely on the model f...

más de 5 años hace | 0

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Pregunta


What formula is used to calculate perplexity in fitlda?
Many sources have different formulas. I want to make sure that I am referencing the correct formula.

más de 5 años hace | 1 respuesta | 0

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Pregunta


Is there a way to automatically calculate the batch mean standard error of the training perplexity of fitlda?
It is standard practice to calculate the standard error of the training perplexity from an algorithm like fitlda using the metho...

más de 5 años hace | 1 respuesta | 0

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Pregunta


Can I get more precise answers in the verbose option of fitlda.
Specifically, I want more digits for the training perplexity of each iteration. Why I need it: I am trying to calculate t...

más de 5 años hace | 1 respuesta | 0

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Why are there Topic Concentration Iterations when you disable fitting topic concentration in fitlda?
When I run fitlda with 'FitTopicConcentration' set to false, I still get `Topic Concentration Interatons'. For example: mdl =...

más de 5 años hace | 0 respuestas | 0

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Question on running fitlda
I want to run fitlda, with the following specification: * use Griffiths and Steyvers (2004) Gibbs Sampling algorithm for LDA a...

más de 5 años hace | 1 respuesta | 0

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Does the text analytics toolbox allow users to test out-of-sample perplexity with LDA?
I want to create two samples from my data: one for training and one for testing. Then I want to fit the LDA model using the trai...

casi 6 años hace | 1 respuesta | 0

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