input_encoders_numba.py 文件源码

python
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项目:LSTM-and-maxlayer-for-SNV-based-phenotype-prediction 作者: widmi 项目源码 文件源码
def __init__(self, ticker_steps=0, tstep_resolution=1.0, min_dif=None, node_range=None, nr_tria_nodes=None, add_binary_encoding=True, double_range=False): 

        if min_dif != None:
            self.node_range = np.ceil(np.float64(tstep_resolution) / min_dif) # half the (symmetric) range of the node
        elif node_range != None:
            self.node_range = np.ceil(np.float64(node_range) / 2.)
        elif nr_tria_nodes != None:
            self.node_range = None
            self.nr_tria_nodes = nr_tria_nodes
        else:
            raise(ValueError, "min_dif or node_range have to be specified!")

        self.ticker_steps = np.int64(ticker_steps)
        self.add_binary_encoding = add_binary_encoding
        self.double_range = double_range
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