MNISTData.copy#
- MNISTData.copy(n_samples: Optional[int] = None, shuffle: bool = False, random_state: Optional[int] = None) VD[source]#
Create new copy of this object, with the data-loader and dataset also copied, and altered by the given parameters.
- Parameters
- n_samplesint , default: None
take only this number of samples to the copied DataLoader. The samples which will be chosen are affected by random_state (fixed random state will return consistent samples).
- shufflebool, default: False
Whether to shuffle the samples order. The shuffle is affected random_state (fixed random state will return consistent order)
- random_stateint , default: None
random_state used for the psuedo-random actions (sampling and shuffling)