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Description
This is similar to issue #17.
evaluation error:
call: [E966] `nlp.add_pipe` now takes the string name of the registered component factory, not a callable component. Expected string, but got (name: 'None').
- If you created your component with `nlp.create_pipe('name')`: remove nlp.create_pipe and call `nlp.add_pipe('name')` instead.
- If you passed in a component like `TextCategorizer()`: call `nlp.add_pipe` with the string name instead, e.g. `nlp.add_pipe('textcat')`.
- If you're using a custom component: Add the decorator `@Language.component` (for function components) or `@Language.factory` (for class components / factories) to your custom component and assign it a name, e.g. `@Language.component('your_name')`. You can then run `nlp.add_pipe('your_name')` to add it to the pipeline.
[4] /home/david/miniconda3/envs/nlp/q/p.q:38: .p.embedPy:
'`NYI];
wrap pyfunc[f]. x];
^
":"~first a0:string x0; / attr lookup and possible call
[3] /home/david/miniconda3/envs/nlp/q/p.q:46: .p.i.wf:{[f;x]embedPy[f;x]}
^
[2] /home/david/miniconda3/envs/nlp/q/nlp/code/parser.q:86: .nlp.parser.i.newSubParser:
pipe:$[`~checkLang;model[`:create_pipe;`sentencizer];.p.pyget`x_sbd];
model[`:add_pipe]pipe;
^
];
[1] /home/david/miniconda3/envs/nlp/q/nlp/code/nlpCode.q:65: .nlp.newParser:
disabled:`ner`tagger`parser except options;
model:parser.i.newSubParser[spacyModel;options;disabled];
^
tokenAttrs:parser.i.q2spacy key[parser.i.q2spacy]inter options;
[0] myparser:.nlp.newParser[`en_core_web_sm;`text`tokens`lemmas`pennPOS`isStop`sentChars`starts`sentIndices`keywords]
^
Changed the following line in parser.q for parser.i.newSubParser to resolve on my end:
From:
if[`sbd in options;
pipe:$[`~checkLang;model[`:create_pipe;`sentencizer];.p.pyget`x_sbd];
model[`:add_pipe]pipe;
];
To:
if[`sbd in options;$[`~checkLang;model[`:add_pipe;`sentencizer];model[`:add_pipe].p.pyget`x_sbd]];
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