擅长:python、mysql、java
<p>模型类型存储在<code>model.type()</code>中。在</p>
<p>您可以通过在IPython终端中输入<code>model.</code>然后输入tab键来查看模型的所有方法。它们是按字母顺序打印的,这是查找所需内容的好方法(即使您不知道确切的方法名)。您也可以在<a href="http://docs.h2o.ai/h2o/latest-stable/h2o-py/docs/search.html?q=type&check_keywords=yes&area=default" rel="nofollow noreferrer">Python Module documentation</a>中搜索“type”,并且您也可以通过这种方式找到它。在</p>
<p>示例:</p>
<pre><code>import h2o
from h2o.estimators.gbm import H2OGradientBoostingEstimator
h2o.init()
# Import a sample binary outcome train/test set into H2O
train = h2o.import_file("https://s3.amazonaws.com/erin-data/higgs/higgs_train_10k.csv")
test = h2o.import_file("https://s3.amazonaws.com/erin-data/higgs/higgs_test_5k.csv")
# Identify predictors and response
x = train.columns
y = "response"
x.remove(y)
# For binary classification, response should be a factor
train[y] = train[y].asfactor()
test[y] = test[y].asfactor()
# Train a GBM
model = H2OGradientBoostingEstimator(distribution="bernoulli", seed=1)
model.train(x=x, y=y, training_frame=train)
</code></pre>
<p>检查型号:</p>
^{pr2}$