在AutoML H2O上使用balance_classes会产生错误“ java.lang.IllegalArgumentException：采样期间出错-点数太少？”
我正在尝试使用具有nfolds = 5且启用balance_classes的AutoML H2O模型来训练多类问题：
数据帧上有三个不同的标签：
target Count
------------- -------
não conhecido 3789
não provido 11039
provido 3225
[3 rows x 2 columns]
所有模型都失败，并显示消息“ java.lang.IllegalArgumentException：采样期间出错-点数太少？”。
我认为要点太少。有人可以解释这个问题吗？
使用的参数：
include_algos = ["DRF", "GBM", "StackedEnsemble"],
seed=1234,
nfolds = nfolds,
balance_classes = True,
max_runtime_secs = 86400,
max_models=8,
max_runtime_secs_per_model = 1200,
keep_cross_validation_predictions = True,
verbosity = "debug",
日志：
Executando o treinamento do modelo do problema < tipo_decisao >...
AutoML progress: |
02:51:01.681: Project: automl_py_488_sid_932d
02:51:01.681: AutoML job created: 2019.12.10 02:51:01.680
02:51:01.681: Disabling Algo: DeepLearning as requested by the user.
02:51:01.682: Disabling Algo: XGBoost as requested by the user.
02:51:01.682: Disabling Algo: GLM as requested by the user.
02:51:01.682: Build control seed: 1234
02:51:01.706: training frame: Frame key: automl_training_py_488_sid_932d cols: 1225 rows: 18053 chunks: 200 size: 192349542 checksum: 7379304490974335888
02:51:01.706: validation frame: NULL
02:51:01.706: leaderboard frame: NULL
02:51:01.706: blending frame: NULL
02:51:01.706: response column: target
02:51:01.706: fold column: null
02:51:01.706: weights column: null
02:51:01.737: Setting stopping tolerance adaptively based on the training frame: 0.007442610801832542
02:51:01.799: AutoML build started: 2019.12.10 02:51:01.799
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02:51:04.812: Default Random Forest build failed: java.lang.IllegalArgumentException: Error during sampling - too few points?
██
02:51:07.831: GBM 1 failed: java.lang.IllegalArgumentException: Error during sampling - too few points?
██
02:51:10.844: GBM 2 failed: java.lang.IllegalArgumentException: Error during sampling - too few points?
██████
02:51:14.878: GBM 3 failed: java.lang.IllegalArgumentException: Error during sampling - too few points?
███
02:51:18.897: GBM 4 failed: java.lang.IllegalArgumentException: Error during sampling - too few points?
███
02:51:19.915: GBM 5 failed: java.lang.IllegalArgumentException: Error during sampling - too few points?
███
02:51:22.954: Extremely Randomized Trees (XRT) Random Forest build failed: java.lang.IllegalArgumentException: Error during sampling - too few points?
02:51:22.954: AutoML: starting GBM hyperparameter search
████████████████████████████████████| 100%
02:51:41.57: No models were built, due to timeouts or the exclude_algos option. StackedEnsemble builds skipped.
02:51:41.57: AutoML build stopped: 2019.12.10 02:51:41.57
02:51:41.57: AutoML build done: built 0 models
02:51:41.57: AutoML duration: 39.258 sec
我检查了源代码，但由于观察到的内容太少，所以看起来不太像。
您能否仅运行启用了余额类的单个GBM模型并提供H2O日志？ http://docs.h2o.ai/h2o/latest-stable/h2o-docs/logs.html#logging-in-python
我不太确定当前的日志是否可以提供足够的信息来解决这个问题，但是我将进行更改以在下一个版本中添加更多的信息。