code: def test_tsice_with_latest(self):
      # load model
      input_length = 24
      forecast_horizon = 4
      forecaster = RandomForestUniVariateForecaster(
          n_past=input_length, n_future=forecast_horizon
      )
  
      forecaster.fit(self.ts_train.iloc[-200:])
  
      # initialize/fit explainer
      observation_length = 12
      explainer = TSICEExplainer(
          forecaster=forecaster.predict,
          explanation_window_start=None,
          explanation_window_length=observation_length,
          features_to_analyze=[
              "mean",  # analyze mean metric from recent time series of lengh <observation_length>
              "median",  # analyze median metric from recent time series of lengh <observation_length>
              "std",  # analyze std metric from recent time series of lengh <observation_length>
              "max_variation",  # analyze max_variation metric from recent time series of lengh <observation_length>
              "min",
              "max",
              "range",
              "intercept",
              "trend",
              "rsquared",
          ],
          perturbers=[
              BlockBootstrapPerturber(
                  window_length=5, block_length=5, block_swap=2
              ),
              dict(
                  type="frequency",
                  window_length=5,
                  truncate_frequencies=5,
                  block_length=4,
              ),
              dict(
                  type="moving-average",
                  window_length=5,
                  lag=5,
                  block_length=4,
              ),
              dict(type="impute", block_length=4),
              dict(type="shift", block_length=4),
          ],
          input_length=input_length,
          forecast_lookahead=forecast_horizon,
          n_perturbations=20,
      )
  
      # compute explanations
      explanation = explainer.explain_instance(
          ts=self.ts_test.iloc[:80],
      )
  
      # validate explanation structure
      self.assertIn("data_x", explanation)
      self.assertIn("feature_names", explanation)
      self.assertIn("feature_values", explanation)
      self.assertIn("signed_impact", explanation)
      self.assertIn("total_impact", explanation)
      self.assertIn("current_forecast", explanation)
      self.assertIn("current_feature_values", explanation)
      self.assertIn("perturbations", explanation)
      self.assertIn("forecasts_on_perturbations", explanation)
  
imports: import os
  import unittest
  import numpy
  import pandas
  from sklearn.model_selection import train_test_split
  from sklearn.ensemble import RandomForestRegressor
  from aix360.algorithms.tsutils.tsframe import tsFrame
  from aix360.datasets import SunspotDataset
  from aix360.algorithms.tsice import TSICEExplainer
  from aix360.algorithms.tsutils.tsperturbers import BlockBootstrapPerturber
label_desc: Use image node_id 3 for calling the TestTSICEExplainer obj's underlying member method code with example usage: obj.test_tsice_with_latest() without return types