H2O GAM加权:预测不再有效

Question

如果我训练加权H2O GAM回归模型，我无法用它进行预测。加权回归使用参数weights_column 进行

我运行的是python=3.6.13，h2o=3.32.1.3，pandas=0.25.3，numpy=1.19.5，sklearn=0.24.2。Java版本：openjdk版本"；14.0.2〃；。

预测适用于：

• 未加权H2O GAM
• 加权H2O GLM
• 降级至H2O时的加权H2O GAM=3.32.0.5

我已将其注册为http://jira.h2o.ai，但如果有人能在不降低h2o的情况下使其工作，我仍然很感兴趣。

import numpy as np
import pandas as pd
from sklearn.datasets import load_boston
import h2o
from h2o.estimators.gam import H2OGeneralizedAdditiveEstimator
h2o.no_progress()
h2o.init()
np.random.seed(42)
boston = load_boston()
y = pd.Series(boston["target"], name="y")
X = pd.DataFrame(boston["data"], columns=boston["feature_names"])  # shape: (506, 13)
myweight = pd.Series(np.random.random_sample((len(y),)), name="myweight2")
predictors = ['CRIM', 'AGE']
gam_columns = ['CRIM']
params = {
"family": "gaussian",
"gam_columns": gam_columns,
'bs': len(gam_columns) * [0],
}
df0 = pd.concat([y, X, myweight], axis=1)
df = h2o.H2OFrame(python_obj=df0)
model = H2OGeneralizedAdditiveEstimator(**params)
model.train(
x=predictors,
y="y",
weights_column="myweight2",
training_frame=df,
)
print('df.shape', df.shape)
y_pred = model.predict(df)
print('y_pred:', y_pred.as_data_frame()["predict"].values[0:5])

我得到这个输出。它抱怨myweight2:

Checking whether there is an H2O instance running at http://localhost:54321 . connected.
--------------------------  ------------------------------------------
df.shape (506, 15)
Traceback (most recent call last):
File "/Users/g009655/tmp7/h2otest/test_gam_predict.py", line 37, in <module>
y_pred = model.predict(df)
File "/Users/g009655/Library/Caches/pypoetry/virtualenvs/h2otest-S7Xak4Mg-py3.6/lib/python3.6/site-packages/h2o/model/model_base.py", line 237, in predict
j.poll()
File "/Users/g009655/Library/Caches/pypoetry/virtualenvs/h2otest-S7Xak4Mg-py3.6/lib/python3.6/site-packages/h2o/job.py", line 80, in poll
"n{}".format(self.job_key, self.exception, self.job["stacktrace"]))
OSError: Job with key $03017f00000132d4ffffffff$_9242dd1b28497090cf9ccad52bd54b9f failed with an exception: java.lang.AssertionError:  null vec: $04ff0f000000ffffffff$_b0f0839f8f1a041e8bf5254b552e4dd3; 
name: myweight2
stacktrace: 
java.lang.AssertionError:  null vec: $04ff0f000000ffffffff$_b0f0839f8f1a041e8bf5254b552e4dd3; 
name: myweight2
at water.fvec.Frame.<init>(Frame.java:161)
at hex.gam.GAMModel.cleanUpInputFrame(GAMModel.java:505)
at hex.gam.GAMModel.adaptTestForTrain(GAMModel.java:492)
at hex.Model.score(Model.java:1697)
at water.api.ModelMetricsHandler$1.compute2(ModelMetricsHandler.java:422)
at water.H2O$H2OCountedCompleter.compute(H2O.java:1637)
at jsr166y.CountedCompleter.exec(CountedCompleter.java:468)
at jsr166y.ForkJoinTask.doExec(ForkJoinTask.java:263)
at jsr166y.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:974)
at jsr166y.ForkJoinPool.runWorker(ForkJoinPool.java:1477)
at jsr166y.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:104)
Closing connection _sid_ad95 at exit
H2O session _sid_ad95 closed.
Process finished with exit code 1

Answer 1

感谢您的错误报告。这里有一个Jira门票的链接，供参考。

Answer 2

我得到了同样的错误，但我找到了解决方法。对我来说，重新加载(在我的情况下是从pandas.DataFrame(训练H2OFrame是有效的。似乎在训练中，它会以某种方式被破坏。。。

在您的情况下，请尝试：

df = h2o.H2OFrame(python_obj=df0)
y_pred = model.predict(df)