code: def rmsle(target, forecast):
      r"""
      .. math::
  
          rmsle = sqrt(mean(square(log(Y+1) - log(Y_hat+1))))
      """
      return np.sqrt(
          np.mean(np.square(np.log(target + 1) - np.log(forecast + 1)))
      )
  
file_path: gluonts/test/evaluation/test_evaluator.py
imports: import numpy
  import pandas
  import pytest
  from gluonts.evaluation import Evaluator, MultivariateEvaluator, aggregate_valid
  from gluonts.model.forecast import QuantileForecast, SampleForecast
label_desc: Use image node_id 11 for calling a global function with example usage: rmsle(target, forecast) and returns: np