02a646f12b968a7822b0d1b59beae5bc0c78b171,pimp/evaluator/fanova.py,fANOVA,__init__,#fANOVA#Any#Any#Any#Any#,16

Before Change

        self.logger = self.name
        // This way the instance features in X are ignored and a new forest is constructed
        // TODO figure out if an already trained forest from the model can be reused!
        self.evaluator = fanova_pyrfr(X=model.X[:, :model.X.shape[1] - len(model.instance_features[0])],
                                      Y=model.y, cs=cs)

    def plot_result(self, name=None):

After Change

        self.name = "fANOVA"
        self.logger = self.name
        // This way the instance features in X are ignored and a new forest is constructed
        self._preprocess(self.X)
        self.evaluator = fanova_pyrfr(X=self.X, Y=self.y.flatten(), config_space=cs, config_on_hypercube=True)

    def _preprocess(self, X):
        

Instances