seldonian.parse_tree.zhat_funcs.vector_Positive_Rate

vector_Positive_Rate(model, theta, X, Y, **kwargs)

Calculate positive rate for each observation. Meaning depends on whether binary or multi-class classification.

Parameters:

• model – SeldonianModel instance

• theta (numpy ndarray) – The model weights

• X (numpy ndarray) – The features

• Y (numpy ndarray) – The labels

Returns:

Positive rate for each observation

Return type:

numpy ndarray(float between 0 and 1)