Abu Shoeb

icon indicating a website link https://www.shoeb.info icon indicating an email [email protected]

icon company Rutgers University icon location United States icon location The more you study the more you know, the more you know the more you forget, the more you forget the less you know, so why study 😁

Results 4 comments of Abu Shoeb

Tokens not properly split when using emoji with modifiers

Try this ``` import spacy from spacymoji import Emoji nlp = spacy.load("en_core_web_sm") emoji = Emoji(nlp, merge_spans=True) nlp.add_pipe(emoji, first=True) # case 1 doc = nlp('Word!👍🏿') print([token.text for token in doc]) #...

create_namespaced_binding() method shows target.name: Required value

I was able to make it work staying with client version 2.0. According to the [documentation](https://github.com/kubernetes-client/python/blob/master/kubernetes/docs/CoreV1Api.md#create_namespaced_binding), they have changed the function name and signatures `create_namespaced_binding(body, namespace)` while calling the function....

create_namespaced_binding() method shows target.name: Required value

@cliffburdick what version of K8 and Python Client you are using?

NER response is a string, should be list of dicts

@sevenChrisK thanks for reporting this. I encountered the same problem. A quick fix that worked for me was using `strip()`. ``` import ast response = nlp_prompter.fit('ner.jinja', domain = 'medical', text_input...