d8366377f8ae2ba3ddb89bbe15ceb96e5fbb0352,art/defences/preprocessor/variance_minimization.py,TotalVarMin,__init__,#TotalVarMin#Any#Any#Any#Any#Any#Any#Any#Any#,54

Before Change

        self._is_fitted = True
        self._apply_fit = apply_fit
        self._apply_predict = apply_predict
        self.set_params(
            prob=prob,
            norm=norm,
            lamb=lamb,
            solver=solver,
            max_iter=max_iter,
            clip_values=clip_values,
        )

    @property
    def apply_fit(self) -> bool:
        return self._apply_fit

After Change

        self._apply_fit = apply_fit
        self._apply_predict = apply_predict
        self.prob = prob
        self.norm = norm
        self.lamb = lamb
        self.solver = solver
        self.max_iter = max_iter
        self.clip_values = clip_values
        self._check_params()

    @property
    def apply_fit(self) -> bool:
        return self._apply_fit

Instances