initial release of v0.1.0

• Fully functional for prediction using Spark MLlib DataFrame-based API
• With updated model, from training using full scale training dataset, with balanced class. (1:1)
• Features include k-mer, codon frequency, pfam hit, vfam hit, (but without IMG virus HMMs hit)
• Three use cases:
  • feature extraction and prediction for large number of sequences. (Cloud or HPC environment)
  • all-in-one script to do feature extraction and prediction for small number of sequences. (for local machine)
  • web application for small number of sequences or demo