Taylor G Smith comments

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                                            Taylor G Smith

Error: Input contains NaN, infinity or a value too large for dtype('float64'): pmdarima.predict()

Can you try updating your version? This works on 1.8.0: ```python In [1]: data = [1872.0, 1452.0, 1476.0, 1404.0, 3048.0, 1788.0, 1080.0, 888.0, 2184.0, 2220.0, 1680.0, ...: 612.0, 2124.0, 486.0,...

Error: Input contains NaN, infinity or a value too large for dtype('float64'): pmdarima.predict()

```python In [3]: pm.show_versions() System: python: 3.7.9 (default, Nov 18 2020, 14:10:47) [GCC 8.3.0] executable: /usr/local/bin/python machine: Linux-5.4.39-linuxkit-x86_64-with-debian-10.6 Python dependencies: pip: 20.3.1 setuptools: 50.3.2 sklearn: 0.23.2 statsmodels: 0.12.1 numpy: 1.19.4...

Error: Input contains NaN, infinity or a value too large for dtype('float64'): pmdarima.predict()

This still an issue @joshi-abhishek ?

Error: Input contains NaN, infinity or a value too large for dtype('float64'): pmdarima.predict()

@Shuvo-saha I get a different model with your data, and cannot reproduce the error: ```python In [5]: test = [53930.25, 16575.5, 15593.1, 6751.15, 5408.95, 3853.0, 5119.9, 6761.55, 20449.1, 20458.05, 24501.8,...

Error: Input contains NaN, infinity or a value too large for dtype('float64'): pmdarima.predict()

Seems possibly related to #492 (caused by potential statsmodels bug). We have an open bug with them we're watching

[BUG] ARIMA MLE convergence failure in a case where it is not obvious why it would fail to converge

Taking a look at this @fkiraly, I can reproduce.

[BUG] ARIMA MLE convergence failure in a case where it is not obvious why it would fail to converge

Just a quick follow-up, RCA still in progress. This is ultimately the model that is fit, and it fails at the statsmodels level as well. Distilled, and setting `disp` to...

[BUG] ARIMA MLE convergence failure in a case where it is not obvious why it would fail to converge

Opened a new bug with statsmodels: https://github.com/statsmodels/statsmodels/issues/8232

[BUG] ARIMA MLE convergence failure in a case where it is not obvious why it would fail to converge

Just an update here. The statsmodels issue was closed about 2 weeks ago, but still awaiting a new release before we bump our dependency version and mark this resolved.

[BUG] ARIMA MLE convergence failure in a case where it is not obvious why it would fail to converge

@noahberhe Statsmodels still hasn't cut a new release yet, so even if we shipped today the issue would still be present. We're waiting until their next release to pin the...