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When using quantiles and add_history=True in the forecast method at the same time, I'm getting incorrect columns and columns with missing values.
quantiles
add_history=True
forecast
v0.6.1
import pandas as pd from nixtla import NixtlaClient nixtla_client = NixtlaClient(api_key = "API key") df = pd.read_csv('https://raw.githubusercontent.com/Nixtla/transfer-learning-time-series/main/datasets/electricity-short.csv') fc = nixtla_client.forecast(df, h=8, quantiles=[0.8, 0.9], add_history=True)
This returns the following columns:
The quantile columns contain missing values and columns with "hi" and "lo" shouldn't be included.
The text was updated successfully, but these errors were encountered:
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What happened
When using
quantiles
andadd_history=True
in theforecast
method at the same time, I'm getting incorrect columns and columns with missing values.Version
v0.6.1
Reproducible example
This returns the following columns:
The quantile columns contain missing values and columns with "hi" and "lo" shouldn't be included.
The text was updated successfully, but these errors were encountered: