[scikit-learn] Are sample weights normalized?

[Abhishek Raj]

Hi,

I am using one class svm for binary classification and was just curious
what is the range/scale for sample weights? Are they normalized internally?
For example -

Sample 1, weight - 1
Sample 2, weight - 10
Sample 3, weight - 100

Does this mean Sample 3 will always be predicted as positive and sample 1
will never be predicted as positive? What about sample 2?

Also, what would happen if I assign a high weight to majority of the
samples and low weights to the rest. Eg if 80% of my samples were weighted
1000 and 20% were weighted 1.

A clarification or a link to read up on how exactly weights affect the
training process would be really helpful.

Thanks,
Abhishek
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