henrydingliu

Results 6 issues of henrydingliu

error at the bottom of the page `plt.plot( (model_cl.ultimate_["Paid"]).to_frame().index.astype("string"), (model_cl.ultimate_["Paid"] / model_cl.ultimate_["reportedCount"]).to_frame(), )` `plt.xticks(np.arange(0, 10 * 12, 12), np.arange(2008, 2018, 1))`

Documentation

drop_high does some weird stuff sometimes ``` prism_df = pd.read_csv( "https://raw.githubusercontent.com/casact/chainladder-python/master/chainladder/utils/data/prism.csv" ) prism_df["AccidentDate"] = pd.to_datetime(prism_df["AccidentDate"]) prism_df["PaymentDate"] = pd.to_datetime(prism_df["PaymentDate"]) prism_df.loc[(prism_df["AccidentDate"].dt.year > 2008) & (prism_df["PaymentDate"].dt.year > 2012),"Incurred"] = 0 prism = cl.Triangle(...

Bug

Prolly something dumb I'm doing. This code works. ``` raa = cl.load_sample('raa') model = cl.Development().fit(raa) model.std_residuals_ ``` This code doesn't. ``` raa = cl.load_sample('raa') model = cl.Development().fit_transform(raa) model.std_residuals_ ```

Bug

using the example provided in https://chainladder-python.readthedocs.io/en/latest/tutorials/deterministic-tutorial.html#expected-loss-method EL_model.full_triangle_ shows negatives in the next diagonal. The bottom triangle should be filled in by allocating the selected IBNR using conditional distributions from the...

I have been mucking around the Incremental Additive method for some payment pattern work. Found some bugs and noticed a couple potential QoL improvements. bugs: - transformer doesn't have incremental_...

Impact > Minor 🔷
Effort > Moderate 🐕

**Is your feature request related to a problem? Please describe.** within the default development class, ata selections (drop, n_period, etc.) is performed via a fixed order. custom order is not...

Impact > Moderate 🔶
Effort > Moderate 🐕