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(Note: please add information, I (Josef) don't have an overview)
e.g.
http://stats.stackexchange.com/questions/152280/forecasting-values-based-on-day-of-week-and-hour
One alternative is to work with…
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I'm building an ARIMA model using statsmodels.tsa.arima.model, version 0.14.0. I'm having issues manually reproducing the output of the predict method on the training dataset when including exogenous …
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### Short description of current behavior
This applies to both StatsForecast and TimeGPT models:
Created models and trained them with the historical_expenditures data. Then, wanted to make predict…
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failing to converge with 500 iters, but coming very close...can I change the maxiter to 1000?
thanks
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I trained a ARIMA model with two weeks data.
Now I want to use the model to do one step predict with my new test data.
But I dont know how to feed my test data to the predict function.
```pyt…
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Following example will exit with an error (crash). This error can't be even handled with try/catch:
```javascript
const arima = require('arima');
let pVals = [0, 0, 0, 0, 12, 9.55, 12];
cons…
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I got LinAlgError: LU decomposition error
while training and forecasting in UCM with exog variables
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Statsmodels is using joblib in a few places for parallel processing where it's under our control. Current usage is mainly for bootstrap and it is not used in the models directly.
However, some of the…
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Starting an issue to discuss the longer-term roadmap for `tsa` with some of my thoughts / questions. The major theme I have in mind is making `tsa` more consistent in terms of inputs, outputs, and met…
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Call used:
```
SARIMAX(endog=endog, exog=exog, order=order
seasonal_order= (0,0,0,4),
trend= 'n',
enforce_stationarity=True,
enforce_invertibility=True,
time_varying_regression=True,
…