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Demonstrate Traja with a stock market price forecasting example.
Good place to start is the Colab notebook: https://colab.research.google.com/github/justinshenk/traja/blob/master/demo.ipynb
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+Some References:+
https://github.com/robjhyndman/forecast
http://stackoverflow.com/questions/22140180/java-api-for-auto-regression-ar-arima-time-series-analysis/25922381#25922381
http://rforge.net…
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## Description
Currently, in docs for time series forecasting, the air passengers model is used to show how to inference a time series model using DJL. However, the model is already trained. Then, …
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Very nice package, stringently designed!
I was wondering whether you were thinking about `sktime` integration?
* there are a lot of strategies for portfolio optimization that are based on foreca…
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@francojc
1. a. The process of constructing a predictive model involves several key stages: identifying pertinent variables, splitting the data, applying the model, inspecting to confirm the readines…
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### Problem Description
A number of SDV users have run into performance issues when using PARSynthesizer with their data. The issues usually manifest as regular out-of-memory errors or CUDA out-of-…
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## Introduction
We had a discussion about dynamic pipelines from #1993, also partly related to #1963, this issue is to summarise the discussion and lay out the work that we need to do.
Related Iss…
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I may have discovered an error. When I simulate the trained model with a test data set longer than 10000 data points, I get a StackOverflowError due to the Flux.stack function
https://discourse.jul…
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