rmazzine

absl-py==1.0.0
alabaster==0.7.12
albumentations==0.1.12
altair==4.2.0
appdirs==1.4.4
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
arviz==0.12.0
astor==0.8.1
astropy==4.3.1

rmazzine

import numpy as np
def simple_cf_generator(factual_oh, adapted_nn, tolerance=100):
    # Get the current prediction result of the factual class
    current_pred = adapted_nn.predict(np.array([factual_oh]))[0][0]

    # The predictor will always start with a probability lower than 0.5
    if current_pred < 0.5:
        predictor = adapted_nn.predict
    else:
        predictor = lambda x: 1 - adapted_nn(x)