.. _`Split Dataset (Experimental)`:

.. _`com.sympathyfordata.advancedmachinelearning.splitdataset`:

Split Dataset (Experimental)
````````````````````````````

.. image:: split_image_ds.svg
   :width: 48


Splits input dataset into a training and a test dataset in a lazy-loaded manner. This means it only adds the indices attribute in the dataset structure, indicating the indices of the dataset that belong to the Training or Test datasets without actually splitting the dataset into two. As a result, you will not see the actual splits in the node's output ports.





Definition
::::::::::


Input ports
...........

    **input_ds**  dataset
        Input dataset


Output ports
............

    **train_ds**  dataset
        Training dataset

    **test_ds**  dataset
        Test dataset




Configuration
.............

    **Create image labels from filepaths (img_path).** (labels)
        Specify expression to create label column for image datasets or column name for tabular datasets
    **Choose an output column** (output_col)
        Label column
    **Stratify** (stratify)
        Stratify data using Y as class labels
    **Test set proportion** (test_size)
        Test size for train/test split









Implementation
..............

.. automodule:: node_splitdataset
    :noindex:

.. class:: SplitDataset
    :noindex: