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**Describe the bug**
Applying the `SlopeTransformer` on a multi-index removes all index labels and replaces them with integers.
**To Reproduce**
```python
import pandas as pd
from sktime.transf…
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> #### Describe the issue linked to the documentation
The ForecastGorizon interface allows seperated steps forecasting (like `fh=[-10, -5, 3]`) but the forecaster (like pmdarima) is performing in t…
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### Describe the bug
I have run this code locally and it has worked, but when I run it on colab I face a value error
### To Reproduce
import pandas as pd
from pmdarima import pipeline
from pmdari…
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### Describe the question you have
I am implementing a backward feature elimination (BFE) involving autorima to find optimal parameters for a given set of regressors. While running the BFE, the fo…
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https://github.com/microprediction/timemachines/actions/runs/3334222238/jobs/5516959413
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**Describe the bug**
When I am using ARIMA model, under some very specific circumstances, the model cannot be trained and hence predictions are not returned.
**To Reproduce**
```python
from sk…
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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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I get an error when trying to run a function from java. What have I done wrong?
```
Process finished with exit code 132 (interrupted by signal 4: SIGILL)
```
```java
try (Interpreter interp =…
Inqus updated
3 years ago
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A potentially useful feature could be for `pmdarima.arima.auto_arima` to stepwise determine (using the selected `information_criterion`) which exogenous features should be included in the model (e.g. …
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**Describe the bug**
`InstanceSplitter` is unable to apply the same index to split `X` and `y` without throwing the following error:
`ValueError: Error in InstanceSplitter.split: InstanceSplitter i…