Forecast Explainable
7.0
A Keras plugin that integrates explainability methods (permutation importance, SHAP, Integrated Gradients) directly into LSTM models for time series forecasting, making the prediction process transparent and understandable to users.
100h
mvp estimate
7.0
viability grade
9
views
technology stack
Python
Medium
inspired by
LSTM architectures can be annoying to trust for weather prediction