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SamplingOptions(
max_download_size: typing.Optional[int] = 500,
enable_downsampling: bool = False,
sampling_method: typing.Literal["head", "uniform"] = "uniform",
random_state: typing.Optional[int] = None,
)
Encapsulates the configuration for data sampling.
Attributes | |
---|---|
Name | Description |
max_download_size |
int, default 500
Download size threshold in MB. If value set to None, the download size won't be checked. |
enable_downsampling |
bool, default False
Whether to enable downsampling, If max_download_size is exceeded when downloading data (e.g., to_pandas()), the data will be downsampled if enable_downsampling is True, otherwise, an error will be raised. |
sampling_method |
str, default "uniform"
Downsampling algorithms to be chosen from, the choices are: "head": This algorithm returns a portion of the data from the beginning. It is fast and requires minimal computations to perform the downsampling.; "uniform": This algorithm returns uniform random samples of the data. |
random_state |
int, default None
The seed for the uniform downsampling algorithm. If provided, the uniform method may take longer to execute and require more computation. |