predict - 2023.2 English

void predict (
    hls::stream <MType> opStrm [D],
    hls::stream <bool>& eOpStrm,
    hls::stream <MType> retStrm [1],
    hls::stream <bool>& eRetStrm,
    ap_uint <32> cols
    )

predict based on input features and preset weight and intercept

Parameters:

opStrm	feature input streams. To get a vector of L features, opStrm will be read (L + D - 1) / D times. Feature 0 to D-1 will be read from opStrm[0] to opStrm[D-1] at the first time. Then feature D to 2*D - 1. The last round will readin fake data if L is not divisiable by D. These data won’t be used just to allign D streams.
eOpStrm	End flag of opStrm.
retStrm	Prediction result.
eRetStrm	End flag of retStrm.
cols	Effective feature numbers.