Description
currently, getting the estimated parameters of a sliced triangle doesn't return sliced estimated parameters. see below.
agway = cl.load_sample('clrd').loc['Agway Ins Co', 'CumPaidLoss']
agway_devs = cl.Development().fit_transform(agway)
print(agway_devs.loc['comauto'].ldf_)
print(agway_devs.ldf_.loc['comauto']) Triangle Summary
Valuation: 2261-12
Grain: OYDY
Shape: (4, 1, 1, 9)
Index: [LOB]
Columns: [CumPaidLoss]
12-24 24-36 36-48 48-60 60-72 72-84 84-96 96-108 108-120
(All) 1.615337 1.350847 1.268023 1.060794 1.061106 1.024281 1.00615 1.009685 1.0Is your feature request aligned with the scope of the package?
Describe the solution you'd like, or your current workaround.
in the example provided above, the two to print statement should be the same as the bottom print statement
Do you have any additional supporting notes?
not sure if this is even possible. if it's not possible, we can add a note to the user guide.
Description
currently, getting the estimated parameters of a sliced triangle doesn't return sliced estimated parameters. see below.
Is your feature request aligned with the scope of the package?
Describe the solution you'd like, or your current workaround.
in the example provided above, the two to print statement should be the same as the bottom print statement
Do you have any additional supporting notes?
not sure if this is even possible. if it's not possible, we can add a note to the user guide.