Model understanding in Notebooks
The What-If Tool is available as an extension in Jupyter, Colaboratory, and Cloud AI Platform notebooks. Use the What-If Tool to analyze classification or regression models on datapoints as inputs directly from within the notebook.
A custom prediction function can be used to load any model, and provide additional customizations to the What-If Tool, including feature attribution methods like SHAP, Integrated Gradients, or SmoothGrad.
Easily explore Cloud AI model results
The What-If Tool can be easily configured to analyze AI Platform Prediction-hosted classification or regression models.
Use the What-If Tool to display and investigate attribution values for individual input features in relation to model predictions.
Use the What-If Tool in TensorBoard
Quickly explore your models in the What-If Tool from directly within TensorBoard, by providing the What-If Tool with a model server host and port, and a dataset for the model to perform predictions on.
The What-If Tool accepts a variety of data types. Upload data as tf.Examples, tf.SequenceExamples, or even a CSV file.