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dummy issue for now so github doesn't close the milestone (when it's empty)
for release notes: PR in master for 0.8 for main enhancements:
list based largely on milestone missing or 0.8
**TODO:** a…
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Installation from Options->Add-Ons in Orange, fails with error below:
```
Collecting Orange3-Timeseries
Using cached Orange3-Timeseries-0.3.2.tar.gz
Requirement already satisfied: Orange3 in c…
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Hi,
I don't believe that the confint parameter is being implemented in http://statsmodels.sourceforge.net/devel/generated/statsmodels.tsa.ar_model.ARResults.predict.html
ARResults.predict(start=None…
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Hello Ivan,
first of all, I am big fan of your package, great work! Especially with function _es()_.
But :) little problem with function _auto.ssarima()_. has occurred. It outputs an error for my da…
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The following code doesn't work on dummy data. It worked on real-life data.
ststsmodels ver. 0.8.0rc1
```
import pandas as pd
import statsmodels.api as sm
import random
index = pd.date_range('201…
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I have been having trouble with the get_forecast() function on a SARIMAXResults object.
I am able to make dynamic predictions with get_predict() and forecast with forecast(), however, when i call get…
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```
Traceback (most recent call last):
File "arima_each.py", line 124, in
mod = sm.tsa.statespace.SARIMAX(df.traffic, trend='n', order=(1,0,0), seasonal_order=(0,1,1,96), \
AttributeError: 'mod…
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Hey,
I am using the function SARIMAX from statsmodels 0.8.0 with an exogenous variable. It seems that the methods get_prediction() and subsequently conf_int() do not work out-of-the box when used wit…
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This looks like a new failure with pandas 0.19.2 on appveyor windows python 2.7, it passes on python 3.5.
The unit tests passed with pandas 0.19.1 in previous run at https://ci.appveyor.com/project/j…
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Not sure if this is a bug or a wrong usage of the "predict" method.
When I train the model, everything looks to work properly
```
mod = tsa.statespace.SARIMAX(prodn, order=(0,1,0), seasonal_order=(0…