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### Describe the bug
When provided with a completely constant time series (0,0,0) ARMA is being created with no intercept. Hence, for all the constant time series we predict 0. Slight alteration of…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Time Series Model on Counter Strike Market Sale Dataset
:red_circle: **Aim** : To develop a time series…
arpy8 updated
3 weeks ago
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**Describe the bug**
The method abruptly exit with the below error...
ValueError: Input contains NaN, infinity or a value too large for dtype('float64').
But The data is clean and no sign of any …
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### Environment
Lib version: `arima@0.2.5`
Node version: `v14.18.2`
OS: Linux and macOS
### Description
Hi @zemlyansky, we have been happily using your library without issue for some time t…
ghost updated
2 weeks ago
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I used the dataset from Kaggle and tried to reproduce the benchmark results. It took quite a while to run through the forecasts. But it seems to fail when fitting the "auto.arima" model with external …
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I encountered this bug while running AutoARIMA on the dataset [here](https://datasets.datadrivendiscovery.org/d3m/datasets/-/blob/master/seed_datasets_current/56_sunspots_MIN_METADATA/TRAIN/dataset_TR…
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### Describe the bug
Changes to numpy in v2.0.0 break the current version of pmdarima. Numpy 2.0 has significant breaking changes to its internal API, some of which are documented in their [release n…
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### Is your feature request related to a problem? Please describe.
It would be nice to directly support simulating from a fitted ARIMA model, e.g. to have a `simulate` method to call that would deleg…
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``` r
# Loading the libraries
library(fredr)
#> Warning: package 'fredr' was built under R version 4.2.3
library(forecast)
#> Warning: package 'forecast' was built under R version 4.2.3
#> …
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from pyramid.arima import auto_arima
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
in
…