Analyzing pipelines in spaCy
spaCy allows you to analyze a spaCy pipeline to check whether any required attributes are not set. In this exercise, you'll practice analyzing a spaCy pipeline. Earlier in the video, an existing en_core_web_sm pipeline was analyzed and the result was No problems found., in this instance, you will analyze a blank spaCy English model with few added components and observe results of the analysis.
The spaCy package is already imported for you to use.
This exercise is part of the course
Natural Language Processing with spaCy
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Load a blank spaCy English model
nlp = spacy.____("en")
# Add tagger and entity_linker pipeline components
nlp.____("tagger")
nlp.____(____)
# Analyze the pipeline
analysis = nlp.____(pretty=True)