📄️ Folders, Files, Data Sets, and File Headers
How ML Studio treats a folder as a single data set, why every file in it must share a header, and how to manage them.
📄️ Managing Data
Create and browse folders on the ML Studio Folders page to organize the data files your models train on.
📄️ Uploading File(s)
Upload data to an ML Studio folder from your local file system or from HDFS using the Upload File(s) button.
📄️ Creating a Specification
Define how ML Studio treats each column of a folder's data, using the specification analyzer to suggest column types.
📄️ Folder Partitioning and Sampling
Use Create a Partition to split an ML Studio folder in two or draw a sample, leaving the original data set unmodified.
📄️ Data Refresh: Merge, Update, Extend
Use Merge Folders to update an ML Studio data set record by record, replacing or appending rows by matching identifier.
📄️ File Requirements
TSV and tab-delimited CSV formatting rules for files uploaded to ML Studio, including header row and escape characters.