class_docstr: Dummy model that returns invalid shape predictions.
class_docstr_tok: ["Dummy","model","that","returns","invalid","shape","predictions","."]
docstr: Return predictions with invalid shape.
  
  :param X: Input data.
  :type X: numpy.ndarray
  :return: Predictions with an invalid 2d shape.
      This will create an invalid square shaped diff.
      During surrogate model training, the diff
      will cause an error.
  :rtype: numpy.ndarray
docstr_tok: ["Return","predictions","with","invalid","shape",".",":","param","X",":","Input","data",".",":","type","X",":","numpy.ndarray",":","return",":","Predictions","with","an","invalid","2d","shape",".","This","will","create","an","invalid","square","shaped","diff",".","During","surrogate","model","training",",","the","diff","will","cause","an","error",".",":","rtype",":","numpy.ndarray"]
code: def predict(self, X):
      """Return predictions with invalid shape.
  
      :param X: Input data.
      :type X: numpy.ndarray
      :return: Predictions with an invalid 2d shape.
          This will create an invalid square shaped diff.
          During surrogate model training, the diff
          will cause an error.
      :rtype: numpy.ndarray
      """
      return np.zeros((X.shape[0], 1))
  
imports: import re
  import time
  from enum import Enum
  import numpy
  import pandas
  import pytest
  from common_utils import replicate_dataset
  from erroranalysis._internal.cohort_filter import filter_from_cohort
  from erroranalysis._internal.constants import ARG, COLUMN, COMPOSITE_FILTERS, DIFF, LEAF_INDEX, METHOD, OPERATION, PRED_Y, ROW_INDEX, SPLIT_FEATURE, SPLIT_INDEX, TRUE_Y, CohortFilterMethods, CohortFilterOps, Metrics, ModelTask, regression_metrics
  from erroranalysis._internal.error_analyzer import ModelAnalyzer, PredictionsAnalyzer
  from erroranalysis._internal.surrogate_error_tree import TreeSide, cache_subtree_features, compute_error_tree, create_surrogate_model, get_categorical_info, get_max_split_index, traverse
  from rai_test_utils.datasets.tabular import create_adult_census_data, create_binary_classification_dataset, create_cancer_data, create_diabetes_data, create_iris_data, create_simple_titanic_data
  from rai_test_utils.models.model_utils import create_models_classification
  from rai_test_utils.models.sklearn import create_kneighbors_classifier, create_sklearn_random_forest_regressor, create_titanic_pipeline
  from raiutils.exceptions import UserConfigValidationException
label_desc: Use image node_id 1 for calling the DummyInvalidShapeModel obj's underlying member method code with example usage: obj.predict(X) and returns: np