code: def glm_model():
      # Generalized Linear Model (GLM)
      data = get_dataset("scotland")
      data.exog = sm.add_constant(data.exog)
      glm = sm.GLM(data.endog, data.exog, family=sm.families.Gamma())
      model = glm.fit()
  
      return ModelWithResults(
          model=model, alg=glm, inference_dataframe=data.exog
      )
  
imports: from collections import namedtuple
  import numpy
  import pandas
  import statsmodels.api
  from scipy.linalg import toeplitz
  from statsmodels.tsa.arima.model import ARIMA
  from statsmodels.tsa.arima_process import arma_generate_sample
  from mlflow.models import ModelSignature
  from mlflow.types.schema import Schema, TensorSpec
label_desc: Use image node_id 12 for calling a global function with example usage: glm_model() and returns: ModelWithResults