Similarity Analysis Config

Default value: SimilarityOptions()

Environment Variable: SIMILARITY

In Key Concepts, Similarity Analysis explains how the different configuration attributes will affect the analysis results.

If your machine does not have a lot of computing power, similarity can be set to null. It can be enabled later on in the application.

Class DefinitionConfig ExampleDisabling Similarity Analysis

from pydantic import BaseModel

class SimilarityOptions(BaseModel):
    faiss_encoder: str = "all-MiniLM-L12-v2" # (1)
    few_similar_threshold: float = 0.9 # (2)
    no_close_threshold: float = 0.5 # (3)

1. The name of your encoder must be supported by sentence-transformers.
2. Threshold to determine the ratio of utterances that should belong to another class for the smart tags few_similar_train/few_similar_eval.
3. Threshold for cosine similarity for the smart tags no_close_train/no_close_eval.

{
  "similarity": {
    "faiss_encoder": "your_encoder"
  }
}

{
  "similarity": null
}