watex.datasets.load_bagoue#

watex.datasets.load_bagoue(*, return_X_y=False, as_frame=False, split_X_y=False, test_size=0.3, tag=None, data_names=None, **kws)[source]#

Load the Bagoue dataset.

The Bagoue dataset is a classic and a multi-class classification dataset. Refer to the description for more details.

Parameters:

  • return_X_y (bool, default=False) – If True, returns (data, target) instead of a Boxspace object. See below for more information about the data and target object. .. versionadded:: 0.1.2

  • as_frame (bool, default=False) – If True, the data is a pandas DataFrame including columns with appropriate dtypes (numeric). The target is a pandas DataFrame or Series depending on the number of target columns. If return_X_y is True, then (data, target) will be pandas DataFrames or Series as described below. .. versionadded:: 0.1.1

  • split_X_y (bool, default=False,) – If True, the data is splitted to hold the training set (X, y) and the testing set (Xt, yt) with the according to the test size ratio.

  • test_size (float, default is {{.3}} i.e. 30% (X, y)) – The ratio to split the data into training (X, y) and testing (Xt, yt) set respectively.

  • tag (None) – tag and data_names do nothing. just for API purpose. They allow to fetch the same data uing the func:~watex.datasets.fetch_data since the latter already holds tag and data_names as parameters.

  • data_names (None) – tag and data_names do nothing. just for API purpose. They allow to fetch the same data uing the func:~watex.datasets.fetch_data since the latter already holds tag and data_names as parameters.

Returns:

  • data (Boxspace) – Dictionary-like object, with the following attributes. data : {ndarray, dataframe} of shape (150, 4)

    The data matrix. If as_frame=True, data will be a pandas DataFrame.

    target: {ndarray, Series} of shape (150,)

    The classification target. If as_frame=True, target will be a pandas Series.

    feature_names: list

    The names of the dataset columns.

    target_names: list

    The names of target classes.

    frame: DataFrame of shape (150, 5)

    Only present when as_frame=True. DataFrame with data and target. .. versionadded:: 0.1.2

    DESCR: str

    The full description of the dataset.

    filename: str

    The path to the location of the data. .. versionadded:: 0.1.2

  • data, target (tuple if return_X_y is True) – A tuple of two ndarray. The first containing a 2D array of shape (n_samples, n_features) with each row representing one sample and each column representing the features. The second ndarray of shape (n_samples,) containing the target samples. .. versionadded:: 0.1.2

  • X, Xt, y, yt (Tuple if split_X_y is True) – A tuple of two ndarray (X, Xt). The first containing a 2D array of:

    \[ \begin{align}\begin{aligned}\text{shape}(X, y) = 1- \text{test_ratio} * (n_{samples}, n_{features}) *100\\\text{shape}(Xt, yt)= \text{test_ratio} * (n_{samples}, n_{features}) *100\end{aligned}\end{align} \]

    where each row representing one sample and each column representing the features. The second ndarray of shape(n_samples,) containing the target samples.

Examples

Let’s say you are interested in the samples 10, 25, and 50, and want to know their class name:

>>> from watex.datasets import load_bagoue
>>> d = load_bagoue ()
>>> d.target[[10, 25, 50]]

array([0, 2, 0]) >>> list(d.target_names) [‘flow’]

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