Regression

[thesps]

The HLS backend gives wrong results on an example regression task, for unknown reason.

Running the sklearn_regression.py example with conifer.backends.vivadohls gives wrong results. VHDL backend gives correct results.

y_skl[:10]
array([15.37657419, 18.24400667, 22.7363659 , 25.21349792, 21.54568329,
       23.23484561, 23.23484561, 17.9478476 , 21.42883943, 14.77063661])

y_hdl[:10]
array([15.37651062, 18.24401855, 22.73638916, 25.21348572, 21.54573059,
       23.23486328, 23.23486328, 17.94779968, 21.42884827, 14.77056885])

y_hls[:10]
array([28.4943, 29.7487, 28.3512, 26.6453, 27.1684, 25.1494, 25.1494,
       27.075 , 28.1972, 25.4532])