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Question: Multi-Objective Forecasting

5

Problem: A dataset with multiple data columns that may or may not be temporally coupled, and also multiple output sets. e.g. market sectors and wellbeing index as columns, see if...

BradKML

Evaluation Metrics are missing and all models have failed, by an error in template or metrics

1

**Describe the bug** I tried to use DNN models presented in the package such as GluonTS, pytorch-forecasting and tensorflowSTS. I have installed all required packages as in the installation guide...

tungsontran

Does this package support time series forecasting of intermittent or block demand?

1

Does this package support time series forecasting of intermittent or block demand?

taogeanton2

Current logo doesn't work well with dark mode.

winedarksea

As described. Although whether to do this only with model_forecast or with full AutoTS class (fractional validation?) is an open question

winedarksea

mosaic window, max models for horizontal, clusters/subsample count

winedarksea

This will effect "seasonal" and "similarity" methods

winedarksea

If incoming index is another datatype format or a coerce-able string, attempt to convert to DatetimeIndex

winedarksea

Simplify users having to choose a model list. Set as default.

winedarksea

Code refactor enhancement

2

## Changes ## Relevant Issues and Mentions

eftalgezer