Troubleshooting Vertex AutoML: No Predictions Beyond Class 0 and Input Type Errors with INTEGER Data

[suzuki0430]

I have been using Vertex AutoML for multiclass classification on tabular data loaded from BigQuery, but I am encountering two inexplicable behaviors and would like to ask about them.

1. Does not predict classes other than 0
I have deployed the model and am performing real-time predictions, but it does not predict any class other than 0.
The logs also show that it predicts class 0 with values close to a score of 1.

```

[{'mostLikelyClass': '0', 'confidence': 1.0, 'allScores': [{'classLabel': '0', 'score': 1.0}, {'classLabel': '1', 'score': 2.731270721742507e-12}, {'classLabel': '10', 'score': 8.777935416569033e-15}, {'classLabel': '5', 'score': 5.986683605042941e-15}, {'classLabel': '6', 'score': 1.507040093312565e-16}, {'classLabel': '2', 'score': 1.50957856171998e-18}]}]

```

For reference, I have attached the confusion matrix after training.

2. The input type becomes STRING_VALUE
All the values in this tabular data are INTEGER, but when I input numerical values for prediction, it results in an error."