docstr: Predict class for X.
docstr_tok: ["Predict","class","for","X","."]
code: def predict(self, X):
      """Predict class for X."""
      return [self._predict(inputs) for inputs in X]
  
imports: import numpy
  import ray
  from sklearn import datasets, metrics
  import time
  import tempfile
  import os
  import json
label_desc: Use image node_id 3 for calling the DecisionTreeClassifier obj's underlying member method code with example usage: obj.predict(X) and returns: unknown