fetch_gait#
- skfda.datasets.fetch_gait(*, return_X_y: Literal[False] = False, as_frame: bool = False) Bunch [source]#
- skfda.datasets.fetch_gait(*, return_X_y: Literal[True], as_frame: Literal[False] = False) Tuple[FDataGrid, None]
- skfda.datasets.fetch_gait(*, return_X_y: Literal[True], as_frame: Literal[True]) Tuple[DataFrame, None]
Load the GAIT dataset.
The data is obtained from the R package ‘fda’ from CRAN.
Angles formed by the hip and knee of each of 39 children over each boy gait cycle [1].
References
- Parameters:
return_X_y – Return only the data and target as a tuple.
as_frame – Return the data in a Pandas Dataframe or Series.
Examples using skfda.datasets.fetch_gait
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One-way functional ANOVA with real data
One-way functional ANOVA with real data