964029ec58213aec07fd87a0463c07746a89375c,pymc3/examples/python_vs_c.py,,,#,28

Before Change

    import theano.tensor as t
    return t.exp(x) / (1 + t.exp(x))

model = Model()
with model:

    effects = Normal("effects", mu=0, tau=2. ** -2, shape=(1, npred))
    p = tinvlogit(sum(effects * predictors, 1))

After Change

        
        //mode.print_summary()
    
if __name__ == "__main__":
    run()

Instances