0.1.2

• fixed bug in choosing best model
• breaking change of MedValueNaive, moved into new AvgValueNaive
• increased speed by only saving detailed model results when ensembling
• improved handling of data with large numbers of NaN, prints warning now if NaN in any test set
• experimental option to save model results during run, allowing progress recovery if crashes
• added max_per_model_class option to prevent one model from predominating after many iterations
• added weekly sample data (from EIA)
• added GluonTS models
• added TSFreshRegressor (albeit in a very slow version)

0.1.1

Largest changes are documentation improvements.

0.1.0

Breaking changes to Sklearn regressions
Additional Statsmodels models

0.0.4

Various minor upgrades

0.0.3

Improved dependency versioning should hopefully allow most users to install and run without package issues...

0.0.2

0.0.2. Perhaps.

* where it started from

* initial work 1

* snowstorm

* holidays

* a sound like thunder

* you never know

* Witcher S1E1

I read quite a few of the books, new show looks surprisingly historically accurate in appearance... by movie standards.

* Witcher S1E3

* Christmas Eve

* Christmas

* Early Morning Fog

* Verily I say onto thee

* skiing

* but I am the Chosen One

* sorta works a bit

* ensemble of doom

* ensemble v 1

* nvidia graphics update, better save quick!

* single iteration functional

* take the keys and see what happens!

* cold winds blow

* frenetic sprint to a shifting shambles

* finally, regressing a bit

* ittle bitty changes

* really should have pulled first...

* It works. In an awkward sorta way

* 0.0.1, hopefully

* 0.0.2. For now.