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Currently, the data are input to the forecasting functions as a vector, which gets converted into a time series, by default with a frequency of 1. Having a frequency of 1 means that there's no seasona…
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I am using `forecast 7.2` and trying to figure the best ARIMA specification for a set of monthly data and for some reason `auto.arima` flags a valid model as `Inf`. The model in question is the model …
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#### Description
Earlier a similar issue was raised with a clarification that it would be solved when pyramid has a pip installation. After installing I am facing the same problems.
#### Steps/Cod…
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Predicting stock prices using Technical Analysis is a 16th century Japanese tech.
Let's improve it by creating an Trading Advisor based on **Machine Learning** who can predict trends.
Using **senti…
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Thanks for this useful library. I came here to see if you'd be interested in making forecast more accessible.
Currently, forecast requires too much work to integrate with other systems. Consider a …
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I get following error when I use forecast function. The problem arises due to conflict with "smooth" package. I need to use smooth package because "MAPA" package requires it.
Error in UseMethod("fo…
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#### Description
if I want to predict daily data, how to set the arima parameter m ?
#### Steps/Code to Reproduce
#### Expected Results
#### Actual Results
#### Versions
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peilj updated
6 years ago
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This is more a question than a report. Consider the Cortecosteroid example from `fpp2`:
http://otexts.org/fpp2/seasonal-arima.html
```
(fit Series: h02
#> ARIMA(3,0,1)(0,1,2)[12]
#> Box Cox…
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#### Description
I'm unable to install Pyramid from a Wheel on an Amazon Linux EC2 machine. Based on [PEP 513](https://www.python.org/dev/peps/pep-0513/#ucs-2-vs-ucs-4-builds), a `--enable-un…
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When calculating one-step forecast and using a model with Box Cox transformation, the fitted values returned are not being applied with the inverse box cox transformation.
Example:
```
require(…