83537b4219c1573d130613b445a15a9565c21b23,python/bonsai/compute.py,,train,#Any#Any#Any#Any#Any#Any#Any#,212

Before Change

        return {"loss": score[0], "status": STATUS_OK}

    space = {
        "depth": hp.choice("depth", [1,2]),
        "l1": 1+hp.randint("l1", 100),
        "l2": 1+hp.randint("l2", 100),
        "activation": hp.choice("activation", ["tanh"]),

After Change

          "loss_fct": hp.choice("d1_loss_fct", ["mean_squared_error"]),
          "optimizer": hp.choice("d1_optimizer", ["adam"]),
        },
        { "depth": 2,
          "l1": 1+hp.randint("d2_l1", 100),
          "l2": 1+hp.randint("d2_l2", 100),
          "activation": hp.choice("d2_activation", ["tanh"]),
          "loss_fct": hp.choice("d2_loss_fct", ["mean_squared_error"]),
          "optimizer": hp.choice("d2_optimizer", ["adam"]),
        }
    ])
    
    // The Trials object will store details of each iteration
    trials = Trials()

Instances