AutoViML/Auto_TS

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

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arima auto-arima auto-sklearn auto-timeseries autokeras automl autosklearn prophet python python3 sklearn time-series time-series-analysis tpot

Issues

How to Convert Irregular Time Series to Regular Monthly/Daily Frequency for Model Input?

#117 · closed · 2 comments

Alert: No strf_time_format given for ds. Provide strf_time format during "setup" for better results. Error in creating date time derived features. Continuing...

#115 · closed · 1 comments

'DataFrame' object has no attribute 'append'

#113 · closed · 3 comments

Add `requirements.txt` and `LICENSE` file to tar.gz source on PyPI

#112 · closed · 1 comments

Add `Auto_TS` to `conda-forge`

#110 · closed · 8 comments

`pip install auto-ts` still tries to install `pyyaml==5.4.1`

#106 · closed · 2 comments

Change requirements to `pyyaml` instead of `pyyaml==5.4.1`

#104 · closed · 4 comments

Error: 'could not convert string to float' on datetime column

#103 · closed · 12 comments

Mac M1max

#101 · closed · 2 comments

how can i make predictions on train data

#100 · closed · 3 comments

Import Error issue

#99 · closed · 4 comments