gpDataIndices: Return indices of present data.
In alkalait/gptk: Gaussian Processes Tool-Kit

returns the indices of data which is not missing for a given dimension in the GP-LVM and a block number in the PITC approximation.

1	gpDataIndices(model, dimNo, blockNo)

`model`	the model for which the indices are being returned.
`dimNo`	the dimension for which the presence of missing data is being looked at.
`blockNo`	the block number in the PITC approximation for which the indices are required.

ind

indices of training data along that dimension which isn't missing.

1	## missing

alkalait/gptk documentation built on March 7, 2020, 6:30 a.m.

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