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statsmodels 0.9.0
My code:
arma_mod80 = sm.tsa.ARMA(dta,(8,0)).fit()
x=arma_mod80.get_forecast(steps= 10,alpha =0.05)
Error message:
Traceback (most recent call last):
File "C:/Users/…
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I find that while I am able to forecast a reconciled ensemble forecast that does not include a prophet model, an error occurs when a prophet model is included.
**Reproducible example:**
```libra…
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### What happened + What you expected to happen
In a previous version of `StatsForecast`, I was able to obtain in-sample errors using `StatsForecast.forecast_fitted_values`.
This seems to be no long…
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### Background / motivation
Goal: a single YAML file + CLI that unifies settings across everything.
Consider this a "v0.2" of pdr-backend: the changes are big, and the UX changes a lot.
### …
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I suggest adding topics such as `arima`, `time-series-analysis` in the About section at https://github.com/jeswheel/arima2 .
Thanks for your project -- I have fit arima models in R.
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#### Describe the bug
Hello,
I use the following test data and code to test the `exog` parameters of `x13_arima_analysis`, but an error occurs, how could I solve it? Thanks a lot.
```python
…
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### What happened + What you expected to happen
During cross validation I am getting
```
Cross Validation Time Series 2: 0%| | 0/40 [00:00
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**Ole Jacob**:
- [x] Linear regression
- [x] random forest
- [x] Gradient boosting
**Hans**:
- [x] Support vector machine
- [x] Time series forecasting: LST and GRU
- [x] Neural Networks
-…
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A time series feature for the degree of "outlierness" could be useful to identify sites and/or individual subjects which are outliers, i.e. have few neighbours and are different from most of the other…
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Hi,
I'm trying to forecast a time series using an ARIMA model with a direct multi-step approach, but when running the code found in the documentation, I always get the same error, which is: `TypeErro…