Add Rows module
This article describes a module of the visual interface (preview) for Azure Machine Learning service.
Use this module to concatenate two datasets. In concatenation, the rows of the second dataset are added to the end of the first dataset.
Concatenation of rows is useful in scenarios such as these:
You have generated a series of evaluation statistics, and you want to combine them into one table for easier reporting.
You have been working with different datasets, and you want to combine the datasets to create a final dataset.
How to use Add Rows
To concatenate rows from two datasets, the rows must have exactly the same schema. This means, the same number of columns, and the same type of data in the columns.
Drag the Add Rows module into your experiment, You can find it under Data Transformation, in the Manipulate category.
Connect the datasets to the two input ports. The dataset that you want to append should be connected to the second (right) port.
Run the experiment. The number of rows in the output dataset should equal the sum of the rows of both input datasets.
If you add the same dataset to both inputs of the Add Rows module, the dataset is duplicated.
See the set of modules available to Azure Machine Learning service.