-
Currently using a so-so correlation setup via XGBRegressor on time-lagged field-entries, 5 day windows. It's pretty bad theory, but works decent in practice. We'll want to move to something more solid…
-
Hello, Happy New Year to you all.
I read some articles that AutoTS can support time series analysis with multiple independent and dependent variables, if it is true, could you help me to learn more…
-
## Background
The different models that can be trained in Neural-LAM are currently all sub-classes of `pytorch_lightning.LightningModule`. In particular, much of the functionality sits in the first …
-
Hi,
Is there a way to access the WeatherFlow forecast via the API.
Looking here: https://weatherflow.github.io/Tempest/api/swagger/#!/observations/getObservationsByDeviceId , it looks pretty complet…
-
This is not exactly a BUG, but an "confused" implementation problem.
--
I think the architecture related to TS models based on REGRESSION models
is a little confusing: too variants but also missin…
-
A great initial effort was made by @DBCerigo @TNTran92 @alex-hh to create a user-friendly sktime benchmarking interface for quick univariate forecasting benchmarks. The decision to include Kotsu as pa…
-
update by @fkiraly - summarizing the below, I think this is a combination of feature request - "forecasters should support forecasting on a subset of instances, if panel data" - and frustrated user ex…
-
Currently, `PolynomialTrendForecaster` and `TrendForecaster` are duplicative, as the latter is a special case of the former via copy-paste.
These duplications should be removed (once PR https://git…
-
Hi there,
@hammerhead recently evaluated the [Forecasting Quarterly House Sales with MindsDB] tutorial with CrateDB and this Python driver (thanks!), so I would like to report about the outcome.
…
amotl updated
1 month ago
-
Following the initial refactor of parallel backends to a central location, to enable use of multiple backends, we can in-principle unlock multi-backend functionality in multiple locations.
The most…