Noob question: How do I project my data into the PCA space?

[factoidforrest]

For instance check out how this simple ruby library works.

https://github.com/gbuesing/pca

It outputs the dataset in the desired number of dimensions, ready to graph. Is this easy with your library and I am just missing something obvious?

Thanks!

[targos]

To project a dataset into the PCA space, you should use the predict method. You can call it with the original data that was passed to the PCA constructor.

See https://github.com/mljs/pca#usage for a code example (replace newPoints with dataset)

[factoidforrest]

Oh! Thank you! I thought that was just for new data. It makes sense now. Thank you!

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On Jun 19, 2017 11:56 PM, "Michaël Zasso" ***@***.***> wrote: To project a dataset into the PCA space, you should use the predict method. You can call it with the original data that was passed to the PCA constructor. See https://github.com/mljs/pca#usage for a code example (replace newPoints with dataset) — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#11 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AAjhEjnTgDgw9LWoOTnTp5mDECZrUZjlks5sF20sgaJpZM4N-38C> .

[transitive-bullshit]

I also found this confusing 😂 Since the example uses newPoints, I thought it meant the projection was already computed for the original data somewhere, but I was having a hard time figuring out where.