code: def evaluate(self, approxes, target, weight):
      return self.softlogloss.evaluate(approxes, target, weight)
  
file_path: autogluon/tabular/src/autogluon/tabular/models/catboost/catboost_softclass_utils.py
imports: import math
  import numpy
  from catboost import MultiRegressionCustomMetric, MultiRegressionCustomObjective
  from autogluon.core.metrics.softclass_metrics import EPS
  from .catboost_utils import CustomMetric
label_desc: Use image node_id 2 for calling the SoftclassCustomMetric obj's underlying member method code with example usage: obj.evaluate(approxes, target, weight) and returns: self