homo_nn是否支持增加验证集导入

[yueyueshine]

在dsl 和config中添加了验证集导入，然后在HomoNNClient类的fit函数中添加了validate_data参数，后面的代码也针对验证集做了对应修改，但是fateflow报错显示：TypeError: fit() takes 2 positional arguments but 3 were given

[talkingwallace]

fit接口是固定的，如果需要验证集 可以考虑dsl或者pipeline配置一下验证集 这里有个Homo的例子 https://github.com/FederatedAI/FATE/blob/master/examples/dsl/v2/homo_secureboost/test_secureboost_train_dsl.json

[yueyueshine]

按照例子进行了修改，还是报同样的错误 { "components": { "reader_0": { "module": "Reader", "output": { "data": [ "data" ] } }, "data_transform_0": { "module": "DataTransform", "input": { "data": { "data": [ "reader_0.data" ] } }, "output": { "data": [ "data" ], "model": [ "model" ] } }, "reader_1": { "module": "Reader", "output": { "data": [ "data" ] } }, "data_transform_1": { "module": "DataTransform", "input": { "data": { "data": [ "reader_1.data" ] }, "model": [ "data_transform_0.model" ] }, "output": { "data": [ "data" ], "model": [ "model" ] } }, "homo_nn_0": { "module": "HomoNN", "input": { "data": { "train_data": [ "data_transform_0.data" ], "validate_data": [ "data_transform_1.data" ] } }, "output": { "data": [ "data" ], "model": [ "model" ] } }, "evaluation_0": { "module": "Evaluation", "input": { "data": { "data": [ "homo_nn_0.data" ] } }, "output": { "data": [ "data" ] } } } }

[yueyueshine]

在HomoNN的 Server类中的fit函数的入参中添加*args可以解决这个问题

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