DataLoad

DataLoad(data)

Loading a dataset from a file or dataframe.

Parameters

data: pandas [n_columns, n_features]. pandas Dataframe.

Attributes

n: lenght of dataset. start: start iterator. end: end iterator. num: current iterator.

Examples

For usage examples, please see: https://jaisenbe58r.github.io/MLearner/user_guide/load/DataLoad/

Methods

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load_data(filename, sep=';', decimal=',', params)

Loading a dataset from a csv file.

Parameters

filename: 'str, path object or file-like object' Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, ftp, s3, and file. For file URLs, a host is expected. A local file could be: file://localhost/path/to/table.csv. If you want to pass in a path object, pandas accepts any os.PathLike. By file-like object, we refer to objects with a read() method, such as a file handler (e.g. via builtin open function) or StringIO.

seps: 'str' Delimiter to use. If sep is None, the C engine cannot automatically detect the separator, but the Python parsing engine can, meaning the latter will be used and automatically detect the separator by Python's builtin sniffer tool, csv.Sniffer.

delimiter: 'str, default None' Alias for sep.

Attributes

n: lenght of dataset. start: start iterator. end: end iterator. num: current iterator.

Returns

data: Pandas DataFrame, [n_samples, n_classes] Dataframe from dataset.

Examples

For usage examples, please see: https://jaisenbe58r.github.io/MLearner/user_guide/load/DataLoad/

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load_dataframe(data)

None

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reset()

None