Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://scikit-learn.org/stable/api/../modules/generated/sklearn.datasets.get_data_home.html below:

get_data_home — scikit-learn 1.7.0 documentation

sklearn.datasets.get_data_home(data_home=None) → str[source]#

Return the path of the scikit-learn data directory.

This folder is used by some large dataset loaders to avoid downloading the data several times.

By default the data directory is set to a folder named ‘scikit_learn_data’ in the user home folder.

Alternatively, it can be set by the ‘SCIKIT_LEARN_DATA’ environment variable or programmatically by giving an explicit folder path. The ‘~’ symbol is expanded to the user home folder.

If the folder does not already exist, it is automatically created.

Parameters:

data_homestr or path-like, default=None

The path to scikit-learn data directory. If None, the default path is ~/scikit_learn_data.

Returns:

data_home: str

The path to scikit-learn data directory.

Examples

>>> import os
>>> from sklearn.datasets import get_data_home
>>> data_home_path = get_data_home()
>>> os.path.exists(data_home_path)
True

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4