What is Galileo ?

Galileo inspects data, discovers errors and helps you improve labels. Galileo's dataquality Python client allows, with a few lines of code during training, to find errors and improve model performance.
Our console provides a data quality score, called the DEP Score, to identify samples in the dataset that are contributing to low or high model performance. The DEP score measures the potential for “misfit” of an observation to the given model.
What dataquality does:
  • Compute a data quality score
  • Find likely mislabeled samples
  • Provide insights to your dataset