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Hi, thanks for the gread library!
The following call produces a `console.log` which is not ideal in my case since i love a clean console ;).
Call:
```
static forecastTimeseriesNpmArima({ts, e…
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I have a fit SARIMAX model with 3 binary exogenous variables - in pseudocode:
```
df = pd.DataFrame(
data={
'endog': [...],
'exog_1': [...],
'exog_n: [...]
},
index=dates
)
…
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**Question**
Hi,
First - thank you for developing this awesome package. I am using it for a while and find it very helpful.
I would like to constrain some coefficients to zero.
Is it possible …
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Hi I am trying som of statsmodels Time series models and noticed that for some of them there are no instructions on how to obtain out-of-sample forecasts. I am particularly interested in SARIMAX and D…
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Hi,
I use `FLAML==2.1.0`. I tried the timeseries forecasting tutorials which worked. When I use my own data I run into `KeyError`/`ValueError` issues when I try to `predict()` on the test data.
…
tkeyo updated
8 months ago
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I am not sure if its just part of the source code that doesnt handle NANs but I've noticed if I input a variable with NANs in a dataframe as part of the exogenous variables, it will not properly fit t…
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### Description
Is there an api to print the model coefficients/aic/bic etc like `R` or `statsmodels`? I fitted an ARIMA model but the Nixtla classes don't appear to implement REPL support so its har…
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#### Describe the bug
SARIMAX is great as it supports pandas series. However, it can be a bit "wrong" with seasonal series in real cases. That's because sometimes the seasonality is based on "time …
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Hi, I wanted to continue the conversation around autots ability to do multivariate analysis.
I have tried the stand-alone Sarimax algorithm with its exog parameter capabilities to add covariates to…
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Hello I do timeseries forecasting with TSA, AR, ARIMA, ARMA. What I would like to be doing is, training the models with a subset of the data I have to get the weights and then try the models on new un…