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#

One-way functional ANOVA with real data

One-way functional ANOVA with real data