def _spark_condition(cls, column, _metrics, threshold, double_sided, **kwargs):
z_score, _, _ = _metrics["column_values.z_score.map"]
if double_sided:
threshold = abs(threshold)
z_score = F.abs(z_score)
return z_score < threshold
def _spark(cls, column_A, column_B, **kwargs):
row_wise_cond = F.abs(column_A - column_B) == 3
return row_wise_cond
