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Hi @fukuball, love the project. Got a question about the calculations!
When you say the following:
Account for missing trait_types of an NFT.
Account for the trait_count of an NFT.
rarity_score = 1/(24/10000) = 416.67
Calculate the Rarity Score for each token (SUM of all rare trait attributes / missing traits / trait counts).
a) What exactly do you mean by accounting for it? Does it mean that you count how many traits are missing per NFT?
b) Can you provide me a full example of the final rarity score calculation or let me know if my explanation below is correct?
For every trait, we calculate the rarity score ( 1/(trait_type_count/collection_size) ), then we divide that by the number of missing traits (let's say 1 in this instance), and then, at last, we divide by the number of trait categories available in the collection (for example, BAYC has 7 total).
Hi @fukuball, love the project. Got a question about the calculations!
When you say the following:
a) What exactly do you mean by accounting for it? Does it mean that you count how many traits are missing per NFT?
b) Can you provide me a full example of the final rarity score calculation or let me know if my explanation below is correct?
For every trait, we calculate the rarity score ( 1/(trait_type_count/collection_size) ), then we divide that by the number of missing traits (let's say 1 in this instance), and then, at last, we divide by the number of trait categories available in the collection (for example, BAYC has 7 total).
So in total, that would be (BAYC example with the Eyes trait "Blue Beams"):
Edit: Or is it the number of traits in the NFT instead of the number of missing traits?
c) How does your trait normalization work? I see you are defining some mean values, but I am having a hard time deciphering how exactly they are used.
d) Is your rarity calculations equal to the ones on rarity.tools v2 without additional weighting?
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