How to properly obtain and use MHFP Fingerprint?

[jshan2020-33]

The code used to get MHFP is as follows:

from rdkit import Chem
from rdkit.Chem.rdMHFPFingerprint import MHFPEncoder

mol = Chem.MolFromSmiles('OCC(=O)CCCN')

a = MHFPEncoder()
MHFP = MHFPEncoder.EncodeMol(a, mol)
MHFP_vector = [int(i) for i in MHFP]

If the acquisition method is correct, can MHFP be directly input into the machine learning model as a feature without conversion?
The obtained value of MHFP is not 0/1, but a very large value, as shown in the following figure:

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Python: 3.7.0
RDKit: 2020.09.1

[j-adamczyk]

Those are MinHash raw hash values. They are meant to be used with Jaccard similarity, using built-in method for fast comparisons. See: https://iwatobipen.wordpress.com/2018/10/13/new-fingerprint-minhash-fingerprint-rdkit-chemoinformatics/.

I'm also looking for a way to use this in generic ML applications. Maybe just use modulo operation?