code: def load_feat_multitask_data():
      """Load example with numerical features, tasks."""
      current_dir = os.path.dirname(os.path.abspath(__file__))
      features = ["feat0", "feat1", "feat2", "feat3", "feat4", "feat5"]
      featurizer = dc.feat.UserDefinedFeaturizer(features)
      tasks = ["task0", "task1", "task2", "task3", "task4", "task5"]
      input_file = os.path.join(
          current_dir, "assets/feat_multitask_example.csv"
      )
      loader = dc.data.UserCSVLoader(
          tasks=tasks, featurizer=featurizer, id_field="id"
      )
      return loader.create_dataset(input_file)
  
file_path: deepchem/deepchem/trans/tests/test_log_transform.py
imports: import os
  import deepchem
  import pandas
  import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: load_feat_multitask_data() and returns: loader