nlpatl

nlpgatl is a library for active learning in machine learning experiments. The goal of NLPatl is assisting user to build high quality labeled dataset. It built on top of transformers, scikit-learn and other machine learning package. It can be applied into both cold start scenario (no any labeled data) and limited labeled data scenario.

Contents:

• Learning
  • nlpatl.learning.mismatch_farthest_learning
  • nlpatl.learning.semi_supervised_learning
  • nlpatl.learning.supervised_learning
  • nlpatl.learning.unsupervised_learning
• Model
  • Classification
    • nlpatl.models.classification.sklearn_classification
    • nlpatl.models.classification.xgboost_classification
  • Clustering
    • nlpatl.models.clustering.sklearn_clustering
    • nlpatl.models.clustering.sklearn_extra_clustering
  • Embeddings
    • nlpatl.models.embeddings.sentence_transformers
    • nlpatl.models.embeddings.transformers
    • nlpatl.models.embeddings.torchvision
    • nlpatl.models.embeddings.nemo
• Sampling
  • Certainity Sampling
    • nlpatl.sampling.certainty.most_confidence
  • Uncertainity Learning
    • nlpatl.sampling.uncertainty.least_confidence
    • nlpatl.sampling.uncertainty.entropy
    • nlpatl.sampling.uncertainty.margin
    • nlpatl.sampling.uncertainty.mismatch
  • Clustering Sampling
    • nlpatl.sampling.clustering.farthest

See Module Index for API.

Indices and tables

• Index

• Module Index

• Search Page