Preparation of a new explainer is initiated
-> data : 156 rows 6 cols
-> target variable : Parameter 'y' was a pandas.Series. Converted to a numpy.ndarray.
-> target variable : 156 values
-> model_class : keras.engine.sequential.Sequential (default)
-> label : happiness
-> predict function : <function yhat_tf_regression at 0x00000135804639D0> will be used (default)
-> predict function : Accepts pandas.DataFrame and numpy.ndarray.
-> predicted values : min = 2.86, mean = 5.41, max = 7.96
-> model type : regression will be used (default)
-> residual function : difference between y and yhat (default)
-> residuals : min = -0.609, mean = -0.00403, max = 1.09
-> model_info : package keras
A new explainer has been created!