fix bug from out-of-date model
update to python3
get fork form:https://bitbucket.org/CibioCM/metaml/src
more detail see:http://segatalab.cibio.unitn.it/tools/metaml/
MetAML is a computational tool for metagenomics-based prediction tasks and for quantitative assessment of the strength of potential microbiome-phenotype associations.
The tool (i) is based on machine learning classifiers, (ii) includes automatic model and feature selection steps, (iii) comprises cross-validation and cross-study analysis, and (iv) uses as features quantitative microbiome profiles including species-level relative abundances and presence of strain-specific markers.
It provides also species-level taxonomic profiles, marker presence data, and metadata for 3000+ public available metagenomes.
E. Pasolli D. T. Truong F. Malik L. Waldron N. Segata Machine learning meta-analysis of large metagenomic datasets: tools and biological insights.PLOS Computational Biology 2016 .doi:10.1371/journal.pcbi.1004977