class_docstr: Deepchecks Wrapper for the h2o autoML package.
docstr: Predict the class probabilities for the given data.
docstr_tok: ["Predict","the","class","probabilities","for","the","given","data","."]
code: def predict_proba(self, df: pd.DataFrame) -> np.array:
      """Predict the class probabilities for the given data."""
      return (
          self.model.predict(h2o.H2OFrame(df))
          .as_data_frame()
          .values[:, 1:]
          .astype(float)
      )
  
imports: import numpy
  import pandas
label_desc: Use image node_id 3 for calling the H2OWrapper obj's underlying member method code with example usage: obj.predict_proba(df) and returns: self