Hello, when I create a model and try to train it, it always fails. The same model on different two compute targets are these:
AzureMLCompute job failed. UserProcessKilledBySystemSignal: Job failed since the user script received system termination signal usually due to out-of-memory or segfault. Reason: Process Killed with either 6:aborted or 9:killed or 11:segment fault. exit code here is from wrapping bash hence 128 + n Cause: killed TaskIndex: NodeIp: 10.0.0.4 NodeId: tvmps_2b4c1352eab879faa7df6dd68985461ea7ef172338311bc4bd278f1c7c66b3ad_d Reason: Job failed with non-zero exit Code
AmlExceptionMessage:AzureMLCompute job failed. JobFailed: Submitted script failed with a non-zero exit code; see the driver log file for details. Reason: Job failed with non-zero exit Code ModuleExceptionMessage:InvalidTrainingDataset: Dataset contains invalid data for training. Learner type: Binary classifier. Reason: The number of label classes should equal to 2, got 5 classes.
AzureMLCompute job failed. JobFailed: Submitted script failed with a non-zero exit code; see the driver log file for details. Reason: Job failed with non-zero exit Code