Forecasting
This extension provides two new operators, Foreacast (Univariate) and Forecast (Multivariate) which allow simple but powerful forecasting of time series.
=== Version 0.1.6 ===
Fixed a bug in depenencies which made 0.1.5 unable to load in normal studios.
=== Version 0.1.5 ===
Added a new operator 'Visualize Forecast
Results' which allows you to visualize your results as pngs on your
disc. this needs the new animated plots extension
=== Version 0.1.4 ===
Holt-Winters is now also optimizing its
seasonality. This makes the operator slower, but better
=== Version 0.1.3 ===
Moved to 5-fold sliding window val for
Univariate
Fixed a bug that ARIMA did not use an heuristic but
constants for p/q
Added errors if attributes do not exist
Univariate is now also working if your time series attribute has a
special role (it is ignored).
=== Version 0.1.2 ===
Both operators now require 48 examples to work.
Linear Model is now using a Lambda optimization with X-Val internally.
Multivariate is not using the last value of each attribute anymore Instead Multivariate uses the last k values of the smoothed (moving avg) time series'. k is defined as a value of window length but max 5.
Product Details
Version | 0.1.6 |
File size | 47 kB |
Downloads | 7178 (8 Today) |
Vendor | RapidMiner Labs |
Category | Machine Learning |
Released | 9/1/20 |
Last Update | 9/1/20 3:58 PM |
License | AGPL |
Product web site | rapidminer.com |
Rating | (0)
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