RangeError: Submatrix indices are out of range

[josiahbryan]

Usage:

const pca = new PCA([vector]);
const result = pca.predict([vector], { nComponents: 2 });

...where vector is an array with 1,536 elements a la an Open AI embedding. E.g. const vector = [0.00728, -0.0181, 0.014, ....]

The goal is to reduce/project the 1,536-element vector into 2d space for graphing related vectors.

However, when I call pca.predict, it throws this error:

(PID 60093) 2023-07-03T22:51:51.304Z  [ERROR] script-cli.js:127: RangeError: Submatrix indices are out of range
    at checkRange (/Users/josiahbryan/devel/rubber/backend/node_modules/ml-matrix/matrix.js:1038:11)
    at Matrix.subMatrix (/Users/josiahbryan/devel/rubber/backend/node_modules/ml-matrix/matrix.js:2455:5)
    at PCA.predict (/Users/josiahbryan/devel/rubber/backend/node_modules/ml-pca/lib/pca.js:123:28)
    [snipped]

[ahallora]

@josiahbryan did you ever find a solution for this? 🙏

[josiahbryan]

No, sorry, I moved on to a different method of doing this all together, I decided that vector space projection wasn't all that relevant to what I was trying to do so I didn't work out a work around, sorry!

…

On Thu, Jan 11, 2024, 4:28 PM ahallora ***@***.***> wrote: @josiahbryan <https://github.com/josiahbryan> did you ever find a solution for this? 🙏 — Reply to this email directly, view it on GitHub <#38 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ABEZELEQXTAZX2A3KZ55HITYOBRRNAVCNFSM6AAAAAAZ47AQE6VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQOBYGA3DSOBQGI> . You are receiving this because you were mentioned.Message ID: ***@***.***>

[ahallora]

Alright, thank you, Joshiah.
For transparency, I ended up just using the OpenAI's embeddings instead. https://platform.openai.com/docs/guides/embeddings
Maybe I'll revisit this later.

[josiahbryan]

I'm confused - are you saying OpenAI's embeddings provides some sort of dimensional reduction built-in?

…

On Fri, Jan 12, 2024 at 4:59 AM ahallora ***@***.***> wrote: Alright, thank you, Joshiah. For transparency, I ended up just using the OpenAI's embeddings instead. https://platform.openai.com/docs/guides/embeddings Maybe I'll revisit this later. — Reply to this email directly, view it on GitHub <#38 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ABEZELEBLVFDUZJMJ2ZHF4TYOEJPLAVCNFSM6AAAAAAZ47AQE6VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQOBYHA4DENRWGY> . You are receiving this because you were mentioned.Message ID: ***@***.***>

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