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Update NEWS for new version.
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jlmelville committed Dec 6, 2018
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# uwot 0.0.0.9006
# uwot 0.0.0.9006 (December 5 2018)

## New features

* Highly experimental mixed data type support for `metric`: instead of
specifying a single metric name (e.g. `metric = "euclidean"`), you can pass a
list, where the name of each item is the metric to use and the value is a vector
of the names of the columns to use with that metric, e.g.
`metric = list("euclidean" = c("A1", "A2"), "cosine" = c("B1", "B2", "B3"))`
treats columns `A1` and `A2` as one block, using the Euclidean distance to find
nearest neighbors, whereas `B1`, `B2` and `B3` are treated as a second block,
using the cosine distance.
* Factor columns can also be used in the metric, using the metric name
`categorical`.
* `y` may now be a data frame or matrix if multiple target data is available.
* New parameter `target_metric`, to specify the distance metric to use with
numerical `y`.
numerical `y`. This has the same capabilities as `metric`.
* Multiple external nearest neighbor data sources are now supported. Instead of
passing a list of two matrices, pass a list of lists, one for each external
metric.
* More details on mixed data types can be found at
https://github.com/jlmelville/uwot#mixed-data-types.
* Compatibility with older versions of RcppParallel (contributed by
[sirusb](https://github.com/sirusb)).
* `scale = "Z"` To Z-scale each column of input (synonym for `scale = TRUE`
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