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forecasting

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sameermahajan
sameermahajan commented Nov 15, 2021

make_future_dataframe doesn't support regressors currently. So code like:

m = Prophet()
m.add_regressor('var')
m.fit(df)
forecasts = m.predict(m.make_future_dataframe(periods=7))

gives an error like:

ValueError: Regressor 'var' missing from dataframe when attempting to generate forecasts

I know prophet may not know what exact values to put for var in each of the rows a

sktime
fkiraly
fkiraly commented Jan 28, 2022

In our current GitHub actions CI/CD, the windows tests are verbose, i.e., logs per test are printed out, which is very useful for diagnosing on remote.

This is not the case for mac and unix (only "dots" are printed and percentages) - it would be great if it were.

Not sure what would have to be changed, but perhaps a good first issue for someone with CI/CD and/or GitHub actions experience.

gluon-ts

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

  • Updated Jan 31, 2022
  • Jupyter Notebook
pmdarima
nicolaschapados
nicolaschapados commented Nov 14, 2021

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 delegate to statsmodels.tsa.arima.model.ARIMA.simulate. Right now, the only way I found is to use arima_res_ member of the fitted object.

Describe the solution you'd like

Class `pmdarima.arima.ar

flow-forecast
julia-shenshina
julia-shenshina commented Jan 20, 2022

🐛 Bug Report

I ran code from How To Reproduce and got strange results: fold_info column in backtest's forecasts was not added to ts[:, segment] block but concatenated separately from other segment's columns.

Expected behavior

I expected smth like

|segment |     segment_0      |     segment_1      |      segment_2     |
------------------------------------------------------

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