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I have tried the following code to retrain the spacy model:
```
import spacy
import random
from sklearn.externals import joblib
nlp = spacy.load('en')
nlp.entity.add_label('Brand')
nlp.entity.a…
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The following line is incorrect because ``d_scores = (scores - truths) / scores.shape[0]`` and so when it is squared you get an extra factor of ``scores.shape[0]`` in the denominator.
https://githu…
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Hello all, I am attempting to train a custom NER that correctly labels a date range. This date range will not always be in the same place in the sentence. I am training the model with about 20 unique…
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[#2573](https://github.com/explosion/spaCy/issues/2573)
Reference: Issue pertaining to custom Named Entity Recognition Label with spaCy
I have referred the above issue #2573 and also [spaCy…
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Hello,
I'm trying to reproduce tagging and parsing results using the GENIA corpus. I downloaded the officially released models (`en_core_sci_sm-0.2.0` and `en_core_sci_md-0.2.0`) and officially re…
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Issue is similar to #2783 but the resolution isn't clear to me.
I have roughly 30k documents that I am using to update the large english spaCy model. Additionally, I am using the 30K to add an add…
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I also posted this question in stack overflow.
https://stackoverflow.com/questions/56082191/losses-in-ner-training-loop-not-decreasing-in-spacy
I am trying to train a new entity type 'HE INST'--to…
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## How to reproduce the behaviour
I am basically using the code from https://spacy.io/usage/training#textcat only adding a `training_data = np.array(train_data)` before starting the training. Evaluat…
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I followed all the instruction of the documentation to update my existing model but when I update the model, all previous entities vanished and only new entities were recognized by the model.
here i…
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I trained a NER model with some new entity types, My model accuracy is as follows on a test set which shows per entity accuracy as well as total accuracy.
{
"ents_f": 84.65116279069768,
"ents…