update embedding readme with parallel parameter
@@ -23,6 +23,7 @@ kgtk text_embedding \
--black-list/ -b <string> # optional,default is None
--logging-level/ -l <string> \ # optional, default is `info`
--run-TSNE False # optional, default is True
+ --parallel 4 # optional, default is 1
```
##### Example 1:
For easiest running, just give the input file as
@@ -147,6 +148,9 @@ First column is the node name.
Second column is the property name as required, default is `text_embedding`.
Third column is the embeded vecotrs.
+##### parallel
+You can also set up the parallel count to some number larger than 1 to run in multiprocess mode. Currently only support for kgtk format input data. For example: `--parallel 4`
+
##### Reduced Embedding Vectors
This will have embedded vectors values after running TSNE and reduced dimension to 2-dimensions for each Q nodes. This is used for visulization. (for example, you can view it at Google's online tools here: http://projector.tensorflow.org/)
3. Metadata for the generated vectors: This will contains the metadata information for the Q nodes generated from 2 files mentioned above. It will contains the Q node value of each vector, the type (it is a `candidate` or a `ground truth` node), the given label of the Q node and corresponding fetched description information from wikidata.
