Tom Davidson comments

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                                            Tom Davidson

Test example pipelines

Hmm... Not sure the best place to do this sort of integration testing, given dependencies across multiple processors/repos. We could do it elsewhere (e.g. in mountainlab-conda), but that would break...

Test example pipelines

That sounds reasonable. We should set up a Travis build matrix, with an environmnent variable controlling which install method gets used ("GITHUB" or "CONDA"), and then run a fixed test...

Multiple Calls to MLC.addProcess in for loop -> error

I don’t think it would be *too* painful to go back to Mongo (user-local installs are easy to spin up) if this turns out to be a bigger pain point....

import spikeforestwidgets problem

I believe this could be due to an error in conda packaging that I'm working on. (Some of our conda re-packaging of pip packages are erroneously pulling in extra packages...

import spikeforestwidgets problem

My hunch is that the problem could be that we include the jp_proxy_widget package (which includes npm dependencies like bootstrap) in both the spikeforestwidgets and mountainlab_pytools conda packages. The 'nice'...

Update docs for installing ML processors that are not true python packages

@magland please assign to me (I don't seem to have permissions to do this)

Select columns from DynamicTables using slice-indexing by column name

I agree! This 'leakage' of the underlying DynamicTables VectorData internals was confusing to me, especially as compared to DynamicTables columns that are not of type VectorData (these just behave like...

Select columns from DynamicTables using slice-indexing by column name

> If this means we read the entire column into memory for e.g. table['column_name'][0], it would be too much of a performance hit I don't think there's any reason to...

Select columns from DynamicTables using slice-indexing by column name

Oh now I get Ben’s concern. Sorry I missed that. Yes, returning something like an iterable seems like a good solution Sent from my phone > On Dec 11, 2018,...