Welcome to autoBOT’s documentation

autoBOT is an autoML system for automatic explainable classification of texts. It includes automatically generated features at different granularities, evolved to offer optimal performance/explainability tradeoff.

About:

• Key idea behind autoBOTLib

Tutorial and first steps:

• Installation
• autoBOTLib library
• Using custom classifiers
• Using custom feature transformers
  • Using custom features
  • Extending existing feature spaces
• Model persistence
• autoBOTLib CLI
• Singularity container for autoBOT
• Using custom background knowledge
• Using custom metrics
• Potentially interesting further work
  • Extensions with contextual neural representations
  • Improving the classification phase
  • Speeding up evolution
  • Meta-transfer learning

Contents:

• autobot package
  • Submodules
  • autobot.baselines module
  • autobot.conceptnet_features module
  • autobot.data_utils module
  • autobot.feature_constructors module
  • autobot.helpers module
  • autobot.keyword_features module
  • autobot.metrics module
  • autobot.minimal_test module
  • autobot.minimal_test_load module
  • autobot.rakun module
  • autobot.sentence_embeddings module
  • autobot.strategy_ga module
  • autobot.strategy_random_search module
  • autobot.word_relations module
  • Module contents