code: def predict(self, X):
      # Check if fit has been called
      check_is_fitted(self)
      # Input validation
      X = check_array(X)
      if X.shape[1] != self.n_features_in_:
          raise ValueError(
              f"Inconsistent number of features between fit and predict calls: ({self.n_features_in_}, {X.shape[1]})"
          )
  
      data = pd.DataFrame(X)
      y_pred = self.predictor_.predict(data=data).to_numpy()
      return y_pred
  
file_path: autogluon/tabular/src/autogluon/tabular/experimental/_tabular_classifier.py
imports: from __future__ import annotations
  from typing import List
  import pandas
  from sklearn.base import BaseEstimator, ClassifierMixin
  from sklearn.utils.multiclass import unique_labels
  from sklearn.utils.validation import check_array, check_is_fitted, check_X_y
  from autogluon.core.metrics import Scorer
  from ..None import TabularPredictor
  from ._scikit_mixin import ScikitMixin
label_desc: Use image node_id 3 for calling the TabularClassifier obj's underlying member method code with example usage: obj.predict(X) and returns: y_pred