Я использую h2o autoMl для обучения данных, когда я делаю так, я получаю следующую ошибку:
Job with key $03017f00000132d4ffffffff$_8b5297308fc13966252e9013ace44a58 failed with an exception: java.lang.IllegalArgumentException: Test/Validation dataset has a non-categorical column 'data_science_close_probability_latest' which is categorical in the training data
stacktrace:
java.lang.IllegalArgumentException: Test/Validation dataset has a non-categorical column
'probability_latest' which is categorical in the training data
at hex.Model.adaptTestForTrain(Model.java:1323)
at hex.Model.adaptTestForTrain(Model.java:1181)
at hex.Model.score(Model.java:1468)
at water.api.ModelMetricsHandler$1.compute2(ModelMetricsHandler.java:381)
at water.H2O$H2OCountedCompleter.compute(H2O.java:1551)
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)
Примечание: и в данных поезда, и в данных испытаний тип данных столбца цифра c