We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Displaying coverage percentage will help us to know what are the required efforts to complete the input dataset.
At the moment according to this test we have the 50 classes and 6 superclasses which are present in the DAG but absent of the training dataset.
'Nonadrides', 'Fungal DPEs', 'Marine-bacterial DPEs', 'Breviane diterpenoids', 'Acyclic triterpenoids', 'Carotenoids (C40, ε-Ψ)', 'Carotenoids (C40, ε-ε)', 'Carotenoids (C40, β-Χ)', 'Carotenoids (C40, π-Χ)', 'Carotenoids (C45, ε-Ψ)', 'Polyprenol derivatives', 'Cephalotaxus alkaloids', 'Homoerythrina alkaloids', 'Ahp-containing cyclodepsipeptides', 'Monocyclic β-lactams', 'RiPPs-Amatoxins and Phallotoxins', 'RiPPs-Bottromycins', 'RiPPs-Cyanobactins', 'RiPPs-Lanthipeptides', 'RiPPs-Lasso peptides', 'RiPPs-Microcins', 'RiPPs-Thiopeptides', 'Halogenated hydrocarbons', 'Peptaibols', 'Miscellaneous alkaloids', 'Simple amide alkaloids', 'Miscellaneous polyketides', 'Simple tetramate alkaloids', 'Mitomycins', 'Orthosomycins', 'Phoslactomycins or Phosphazomycins', 'pteridine alkaloids', 'Phenalens', 'Naphthalenones', 'Prodigiosins', 'Ericamycins', 'Thiazole alkaloids', 'Azo and Azoxy alkaloids', 'Benzoquinones', 'Benzophenones', 'Boromycins', 'Merohemiterpenoids', 'Aplysiatoxins', 'Fungal cyclic polyketides (Miscellaneous)', 'Depsides', 'Depsidones', 'Usnic acid and derivatives', 'Duclauxin and derivatives', 'Furans', 'Phenanthrenes']
['Diphenyl ethers (DPEs)', 'Miscellaneous alkaloids', 'Miscellaneous polyketides', 'Mitomycin derivatives', 'Serine alkaloids', 'Phenanthrenoids']
The text was updated successfully, but these errors were encountered:
No branches or pull requests
Displaying coverage percentage will help us to know what are the required efforts to complete the input dataset.
At the moment according to this test we have the 50 classes and 6 superclasses which are present in the DAG but absent of the training dataset.
Classes not in the dataset :
Superclasses not in the dataset :
The text was updated successfully, but these errors were encountered: