Update NEWS for bug fix.

NEWS.md

@@ -0,0 +1,25 @@
+# uwot 0.0.0.9002 (August 14 2018)
+
+## Bug fixes and minor improvements
+
+* `metric = "cosine"` is working again for `n_threads` greater than `0`. 
+
+# uwot 0.0.0.9001
+
+## New features
+
+* *August 5 2018*. You can now use an existing embedding to add new points via
+`umap_transform`. See the example section below.
+
+* *August 1 2018*. Numerical vectors are now supported for supervised dimension reduction.
+
+* *July 31 2018*. (Very) initial support for supervised dimension reduction:
+categorical data only at the moment. Pass in a factor vector (use `NA` for
+unknown labels) as the `y` parameter and edges with bad (or unknown) labels are
+down-weighted, hopefully leading to better separation of classes. This works
+remarkably well for the Fashion MNIST dataset.
+
+* *July 22 2018*. You can now use the cosine and Manhattan distances with the
+Annoy nearest neighbor search, via `metric = "cosine"` and `metric =
+"manhattan"`, respectively. Hamming distance is not supported because RcppAnnoy
+doesn't yet support it.

README.md

@@ -10,21 +10,9 @@ the basic method.
 
 ## News
 
-*August 5 2018*. You can now use an existing embedding to add new points via 
-`umap_transform`. See the example section below.
-
-*August 1 2018*. Numerical vectors are now supported for supervised dimension reduction.
-
-*July 31 2018*. (Very) initial support for supervised dimension reduction:
-categorical data only at the moment. Pass in a factor vector (use `NA` for
-unknown labels) as the `y` parameter and edges with bad (or unknown) labels are
-down-weighted, hopefully leading to better separation of classes. This works
-remarkably well for the Fashion MNIST dataset.
-
-*July 22 2018*. You can now use the cosine and Manhattan distances with the
-Annoy nearest neighbor search, via `metric = "cosine"` and `metric =
-"manhattan"`, respectively. Hamming distance is not supported because RcppAnnoy
-doesn't yet support it.
+*August 14 2018*. I had broken `metric = cosine` for all cases except when
+specifying `n_threads = 0`. Thanks to [ONeillMB1](https://github.com/ONeillMB1) 
+for reporting this.
 
 ## Installing