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What does the `litiChunkSize` parameter do?

The `litiChunkSize` parameter specifies the size of the data chunks used for processing a document. The default is '32K'. For very large documents, using a smaller chunk size like '32K' or '64K' can improve performance and reduce memory consumption. Setting it to 'ALL' processes the entire document at once, which can be memory-intensive.

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On: applyConcept

What does the 'limitN' parameter do?

The 'limitN' parameter specifies a nominal sample size for the control limits. This is particularly useful when subgroup sample sizes vary.

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On: mChart

Which action set contains the accessPersonalCaslibs action?

This action is part of the Access Control action set, which provides actions for managing user access to resources.

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On: accessPersonalCaslibs

model.model.where

Specifies an expression for subsetting the input data.

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On: IdentifySpeakers

inference method="VB" - maxVbIter=64-bit-integer

specifies the number of iterations for the variational Bayesian (VB) inference.

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On: gmm