NInixtla

Compute model-agnostic feature importance weights

Changed on

Compute model-agnostic feature importance weights for the provided exogenous features. It takes a JSON as an input containing the historical data with exogenous features and the attribution method to use. No foundation model is involved. The response contains one normalized weight per feature.

post/v2/explain

Request

  • Base URL
    https://api.nixtla.io
  • Auth
    HTTP bearer

Request body

method'granger' | 'transfer_entropy'

Model-agnostic causal analysis method used by the /v2/explain endpoint. Options are: 'granger' (default) and 'transfer_entropy'.

Response

Successful Response

weightsnumber[] required
feature_namesstring[] nullable
methodstring required

Changes