DevelopmentML help

[Kish150898]

I am trying to implement a basic poisson regression using the DevelopmentML function on summy dummy data. Please can you point out any errors :) I am getting an error message " DevelopmentML' object has no attribute 'average" when trying to fit the model.
data = {
'Accident Year': [2020, 2020, 2020, 2020, 2020, 2021, 2021, 2021, 2021, 2022, 2022, 2022, 2023, 2023, 2024],
'Development Year': [2020, 2021, 2022, 2023, 2024, 2021, 2022, 2023, 2024, 2022, 2023, 2024, 2023, 2024, 2024],
'Paid': [1000, 300, 200, 50, 20, 3500, 800, 500, 100, 5000, 1000, 300, 8000, 2000, 9000]
}
df = pd.DataFrame(data)

Remove any non-numeric columns or rows

df = df.apply(pd.to_numeric, errors='coerce')
df = df.dropna()

Convert the DataFrame to a Triangle with incremental data

triangle = cl.Triangle(df, origin='Accident Year', development='Development Year', columns=['Paid'], cumulative=False)

Initialize the DevelopmentML model with a Poisson Regressor

model = DevelopmentML(
estimator_ml=PoissonRegressor(),
y_ml='Paid',
autoregressive=[('Paid', -1, 'Paid'), ('Paid', -2, 'Paid')],
fit_incrementals=True
)

Fit the model to the triangle data

model.fit(triangle)

Get the estimated loss development patterns

ldf = model.ldf_

Display the estimated patterns

print(ldf)

[andreaeddyricci]

I also haven't been able to get DevelopmentML to work. I get the error: ValueError: could not convert string to float: 'Total'