iris

Bases: tabular_dataloader

A dataloader class for the Iris dataset.

This class extends the tabular_dataloader class to load and process the Iris dataset. The Iris dataset contains measurements of four features (sepal length, sepal width, petal length, petal width) for three species of iris flowers.

Attributes:

Name	Type	Description
name	str, default = 'iris_dataset'	The name of the dataset.
data_contents	(list or tuple, optional)	The contents of the Iris dataset, typically provided as a list of data entries.

Methods:

Name	Description
__init__	Initializes the Iris dataset dataloader.

Source code in tinybig/data/tabular_dataloader.py

class iris(tabular_dataloader):
    """
    A dataloader class for the Iris dataset.

    This class extends the `tabular_dataloader` class to load and process the Iris dataset.
    The Iris dataset contains measurements of four features (sepal length, sepal width, petal length, petal width)
    for three species of iris flowers.

    Attributes
    ----------
    name : str, default = 'iris_dataset'
        The name of the dataset.
    data_contents : list or tuple, optional
        The contents of the Iris dataset, typically provided as a list of data entries.

    Methods
    ----------
    __init__(name, data_contents, ...)
        Initializes the Iris dataset dataloader.
    """
    def __init__(self, name='iris_dataset', data_contents=Iris_Dataset, *args, **kwargs):
        """
        Initializes the Iris dataset dataloader.

        Parameters
        ----------
        name : str, default = 'iris_dataset'
            The name of the dataset.
        data_contents : list or tuple, optional
            The contents of the Iris dataset.

        Returns
        -------
        None
        """
        super().__init__(name=name, data_contents=data_contents, *args, **kwargs)

__init__(name='iris_dataset', data_contents=Iris_Dataset, *args, **kwargs)

Initializes the Iris dataset dataloader.

Parameters:

Name	Type	Description	Default
name	str	The name of the dataset.	= 'iris_dataset'
data_contents	list or tuple	The contents of the Iris dataset.	Iris_Dataset

Returns:

Type	Description
None

Source code in tinybig/data/tabular_dataloader.py

def __init__(self, name='iris_dataset', data_contents=Iris_Dataset, *args, **kwargs):
    """
    Initializes the Iris dataset dataloader.

    Parameters
    ----------
    name : str, default = 'iris_dataset'
        The name of the dataset.
    data_contents : list or tuple, optional
        The contents of the Iris dataset.

    Returns
    -------
    None
    """
    super().__init__(name=name, data_contents=data_contents, *args, **kwargs)