Learning Interpretability Tool
Take LIT for a spin!
Get a feel for LIT in a variety of hosted demos.
Tabular data
tabular binary classification
DATA SOURCES
Palmer Penguins
Analyze a tabular data model with LIT, including exploring partial dependence plots and automatically finding counterfactuals.
Classification and regression models
BERT binary classification multi-class classification regression
DATA SOURCES
Stanford Sentiment Treebank, Multi-Genre NLI Corpus, Semantic Textual Similarity Benchmark
Use LIT with any of three tasks from the General Language Understanding Evaluation (GLUE) benchmark suite. This demo contains binary classification (for sentiment analysis, using SST2), multi-class classification (for textual entailment, using MultiNLI), and regression (for measuring text similarity, using STS-B).
Notebook usage
BERT binary classification notebooks
DATA SOURCE
Stanford Sentiment Treebank
Use LIT directly inside a Colab notebook. Explore binary classification for sentiment analysis using SST2 from the General Language Understanding Evaluation (GLUE) benchmark suite.
Google Research - Language
Github