Understanding Usage on Multivariate Data: Formatting Inputs for OD

[albertoazzari]

Hey everyone,

I'm currently exploring the use this library for a classification task, specifically with multivariate data. However, I'm struggling to understand how to properly format my data to be passed into the classifier. I was wondering if anyone could provide some guidance on this matter.

To give you a bit of context, I'm working on a project where I need to classify multivariate data using pyod. While I have experience with univariate data, multivariate data is relatively new to me. I believe understanding the appropriate data format is crucial to achieve accurate classification results.

Here are a few specific questions I have:

• What format should my input data be in? Should it be a matrix, a pandas DataFrame, or some other format?
• How should I represent the features in my data? Do I need to preprocess or normalize them in any specific way?
• Are there any considerations or best practices I should be aware of when working with multivariate data?
• Are there any limitations or caveats associated with using this library for multivariate classification tasks?

I would greatly appreciate any insights or tips that you can share. If you have any code examples or resources that could help me better understand how to format and prepare my data for the classifier, that would be fantastic.

Thanks in advance for your help!