v1.0-beta.1

New features:

• Support for TensorFlow Decision Forests
• 'Unrolled' Xilinx HLS optimization for much faster C Synthesis time, enabled by default with Unroll configuration parameter (see performance plots on the PR)
• Synthesis report reading for HLS and VHDL backends: conifer_model.read_report() for models of those backends
• new_config parameter of conifer.model.load_model to override a saved model's configuration (e.g. to change backend or precision)
• Simulator discovery for VHDL backend (use whichever is installed)
• Model metadata saved with model JSON export for provenance tracking - conifer version, model conversion time
• Documentation webpages at https://ssummers.web.cern.ch/conifer/
• Significantly overhauled internal representation

Bug fixes:

• Fix to sklearn converter for newer sklearn versions