Remove preview

Author: nibaccam

articles/machine-learning/how-to-create-register-datasets.md

@@ -245,13 +245,10 @@ labeled_dataset = labeled_dataset.filter(labeled_dataset['label'] == 'dog')
 labeled_dataset = labeled_dataset.filter((labeled_dataset['label']['isCrowd'] == True) & (labeled_dataset.file_metadata['Size'] > 100000))
 ```
 
-### Partition data (preview)
+### Partition data
 
 You can partition a dataset by including the `partitions_format` parameter when creating a TabularDataset or FileDataset. 
 
-> [!IMPORTANT]
-> Creating dataset partitions is an [experimental](/python/api/overview/azure/ml/#stable-vs-experimental) preview capability, and may change at any time. 
-
 When you partition a dataset, the partition information of each file path is extracted into columns based on the specified format. The format should start from the position of first partition key until the end of file path. 
 
 For example, given the path `../Accounts/2019/01/01/data.jsonl` where the partition is by department name and time; the `partition_format='/{Department}/{PartitionDate:yyyy/MM/dd}/data.jsonl'` creates a string column 'Department' with the value 'Accounts' and a datetime column 'PartitionDate' with the value `2019-01-01`.