fetch_handwriting

skfda.datasets.fetch_handwriting(*, return_X_y: Literal[False] = False, as_frame: bool = False) → Bunch

skfda.datasets.fetch_handwriting(*, return_X_y: Literal[True], as_frame: Literal[False] = False) → Tuple[FDataGrid, None]

skfda.datasets.fetch_handwriting(*, return_X_y: Literal[True], as_frame: Literal[True]) → Tuple[DataFrame, None]

Load the HANDWRIT dataset.

The data is obtained from the R package ‘fda’ from CRAN.

Data representing the X-Y coordinates along time obtained while writing the word “fda”. The sample contains 20 instances measured over 2.3 seconds that had been aligned for a better understanding. Each instance is formed by 1401 coordinate values [1].

References

[1]

James Ramsay and Bernard W. Silverman. From Functional Data to Smooth Functions, pages 37–58. Springer Series in Statistics. Springer-Verlag, New York, Second edition, 2005. URL: https://www.springer.com/gp/book/9780387400808 (visited on 2021-09-19), doi:10.1007/b98888.

Parameters:

• return_X_y – Return only the data and target as a tuple.

• as_frame – Return the data in a Pandas Dataframe or Series.