Working with data in ts format

[haskarb]

Hi, I saw in one of the documents presented at Juliacon you have run experiments on datasets from http://www.timeseriesclassification.com/. I have two queries to it.

1. Can you point me towards the script used?
2. I'm particularly interested in working with Multivariate data? Is there support available?

Thanks
Bhaskar

[ppalmes]

Hi,

Thanks for taking interests on TSML. I suggest you read the docs and get back here for any questions. TSML is used to transfom data consisting of Date, Value columns into matrix features using sliding windows. You can also add other variables and concatenate the matrices. I have examples how to do this in the documentation. Please follow the examples from here: https://ibm.github.io/TSML.jl/stable/man/valueproc/

[ppalmes]

Once you transform the data into matrix form, TSML pipeline is compatible with AutoMLPipeline syntax so you can do machine learning prediction and regression using a more richer set of operators using AutoMLPipeline: https://github.com/IBM/AutoMLPipeline.jl

If you want to add your own operators to be part of the pipeline, you can use the AMLPipelineBase: https://github.com/IBM/AMLPipelineBase.jl for the type abstract hierarchy and add your operations as described in how to extend it which is described in its README.

[haskarb]

Sure. Thank you! I will read the doc and come back here :)

…

On Tue, 10 Aug 2021 at 15:52, Paulito Palmes, PhD ***@***.***> wrote: Once you transform the data into matrix form, TSML pipeline is compatible with AutoMLPipeline syntax so you can do machine learning prediction and regression using a more richer set of operators using AutoMLPipeline: https://github.com/IBM/AutoMLPipeline.jl If you want to add your own operators to be part of the pipeline, you can using the AMLPipelineBase: https://github.com/IBM/AMLPipelineBase.jl for the type abstract hierarchy and add your operations as described in how to extend it which is described in its README. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#193 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AE4NEHZFN7HRSHDXOKBDTVLT4E4MDANCNFSM5B3IZF7A> . Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&utm_campaign=notification-email> .