bitermplus: v0.6.0

This is a major release that fixes critical bugs in arrays initialization. The previous versions of bitermplus are not recommended for use.

Changelog:

• Arrays (n_bz, n_wz) are now properly initialized. This procedure was broken in the previous versions that led to biased results.
• Data normalization (via _normalize hidden method) improved.
• New NumPy random generators are used to initially assign topics to biterms.
• Biterms (biterms_ model attribute) and topics probabilities (theta_ model attribute) are now available.
• Biterms are now serialized as well when model is saved.