7f5f6ea3117e7b2c2ca208462a52b81a4feee52e,tests/test_encoders.py,TestEncoders,test_sum,#TestEncoders#,139

Before Change

        cols = ["C1", "D", "E", "F"]
        enc = encoders.SumEncoder(verbose=1, cols=cols)
        X = self.create_dataset(n_rows=1000)

        X_test = enc.fit_transform(X, None)

        for dt in X_test.dtypes:
            numeric = False
            if dt == int or dt == float:
                numeric = True
            self.assertTrue(numeric)

After Change

        

        cols = ["C1", "D", "E", "F"]
        X = self.create_dataset(n_rows=1000)
        X_t = self.create_dataset(n_rows=100)

        enc = encoders.SumEncoder(verbose=1, cols=cols)
        enc.fit(X, None)
        self.verify_numeric(enc.transform(X_t))

        enc = encoders.SumEncoder(verbose=1)
        enc.fit(X, None)
        self.verify_numeric(enc.transform(X_t))

        enc = encoders.SumEncoder(verbose=1, drop_invariant=True)
        enc.fit(X, None)
        self.verify_numeric(enc.transform(X_t))

        enc = encoders.SumEncoder(verbose=1, return_df=False)
        enc.fit(X, None)
        self.assertTrue(isinstance(enc.transform(X_t), np.ndarray))

Instances