Jeremy R. Manning

Potentially useful library (thanks for the twitter tip, @andrewheusser!): http://streamz.readthedocs.io/en/latest/ A tutorial-style description may be found here: https://matthewrocklin.com/blog//work/2017/10/16/streaming-dataframes-1

This might be useful for adding support for streaming data: https://ipywidgets.readthedocs.io/en/latest/

@andrewheusser that's an annoying bug! Good catch. And I agree with your proposed fixed-- let's require `matplotlib>=1.5.1,

Also: we should add the `normalize` flag

awesome-- thanks @rarredon!

If we implement this using the standard hypertools API (e.g. through the `reduce` function/flag), it would provide a really convenient way to train and apply autoencoders. I think some neat...

@andrewheusser is the question how serial plotting should be implemented? I think we could do something analogous to how `chemtrails` is currently implemented, but in reviewing the code i also...

or @andrewheusser if you were asking about how the serial/parallel flags should be specified, what about having "four" `animate` options (specified via five flag values to maintain backwards compatibility): 1....

another thought is to support a convenient syntax for something like: `hyp.plot(hyp.tools.reduce(x, model='TSNE', ndims=10), model='SpectralEmbedding')` Instead, we could support the following syntax: `hyp.plot(x, model=['TSNE', 'SpectralEmbedding'], ndims=[10, 3])`

Also noting (per discussion with @andrewheusser), we could consider supporting something like `hyp.plot(x, xform=[{'reduce': 'TSNE', 'params': {...}}, {'normalize': 'across'}, {'reduce': 'IncrementalPCA'}, {'normalize': 'within'}, {'align': 'hyperalignment'}, {'reduce': 'SpectralEmbedding'}])` In other words,...