【发布时间】:2019-10-19 19:24:19
【问题描述】:
我有一个非常简单的问题。我最近开始研究 python。
这是 H2O Automl 的 R 代码
aml <- h2o.automl(x = x, y = y, project_name =gtp,max_runtime_secs = 99, max_runtime_secs_per_model = 3600,
leaderboard_frame = test,
training_frame = train, validation_frame = test,nfolds =0,
max_models = 1000,exclude_algos = c("GLM", "DeepLearning", "GBM","DRF","StackedEnsemble"),
seed = 22)
如何用 Python 编写这些?
aml = H2OAutoML(max_runtime_secs = 600, exclude_algos = "GLM", "DeepLearning", "GBM","DRF","StackedEnsemble" ,
seed = 42,project_name =gtp)
aml.train(x = X,
y = y, validation_frame =hf_v
training_frame = hf_train,
leaderboard_frame = hf_test,)
【问题讨论】:
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你也可以试试 MLJAR AutoML github.com/mljar/mljar-supervised Python 代码:
automl = AutoML() automl.fit(X_train, y_train)