Time Series Forecasting with PyCaret

PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows. It is an end-to-end machine learning and model management tool that speeds up the experiment cycle exponentially and makes you more productive.
This presentation will demo the time series forecasting use case using PyCaret's new low-code time series forecasting module.
Connect with us:
Website: databricks.com
Facebook: / databricksinc
Twitter: / databricks
LinkedIn: / data. .
Instagram: / databricksinc

[@bhavya12]

we want to see multivariate forecasting by pycaret.....video pls..

[@erkankyak7074]

PyCaret is fascinating, but I couldnt use in my project. Could you please make a video of multivariate unsupervised time series anomaly detection?

[@aiautoglasscrm]

Nice, a video with Moez that I have not seen

[@warraxxx]

Thank you very much for the video, it is very helpful!
I wanted to know the following:
1) Do the time series that we feed in the model need to be stationary or not?
2) Also, if we have a dataframe with time series y and x, when in our setup the target="y", does it mean that PyCaret considers the effect of time series "x" in the prediction of "y" or not?
Thank you!

[@fawadmahdi]

any way to integrate exogenous variables in time series forecasting. In the real world it's rarely the case where we have univariate feature.. that's one of the limitations I'm hitting in using pycaret for timeseries

[@didierleprince6106]

A BIG Merci (:

[@GabrielHenriqueRibeiroDavid]

the prediction interval dosent show up for me! Just the normal graph with the prediction.. seems strange.

[@jayendrakhadikar1291]

ERROR: Could not find a version that satisfies the requirement pycaret=='3.0.0'
ERROR: No matching distribution found for pycaret=='3.0.0'

[@JBAhmad-vu2lr]

My Index column has "date & time" (and not only "date" as in your example) and I get an error when I execute these lines:
from pycaret.time_series import *
s = setup(data, fold = 3, fh = 24, session_id =123)
and the error is :
ValueError: You must pass a freq argument as current index has none.
Could you please help me on this?

[@varshakrishna764]

you need to check the frequency .. if frequency is none you need to perform resampling based on the seasonal

[@kristiandavearanas8418]

demo link not found