sparknlp.base#
Contains all the basic components to create a Spark NLP Pipeline.
This module contains basic transformers and extensions to the Spark Pipeline
interface. These are the LightPipeline
and RecursivePipeline
which offer additional functionality.
Classes
Converts a |
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Converts |
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Prepares data into a format that is processable by Spark NLP. |
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Extracts embeddings from Annotations into a more easily usable form. |
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Converts annotation results into a format that easier to use. |
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Helper class to convert the knowledge graph from GraphExtraction into a generic format, such as RDF. |
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Properties for the implementation of the RecursivePipeline. |
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Properties for the implementation of the RecursivePipeline. |
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Creates a LightPipeline from a Spark PipelineModel. |
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Recursive pipelines are Spark NLP specific pipelines that allow a Spark ML Pipeline to know about itself on every Pipeline Stage task. |
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Fitted RecursivePipeline. |
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This transformer reconstructs a |