evalml.preprocessing.split_data¶
-
class
evalml.preprocessing.
split_data
[source]¶ Splits data into train and test sets.
- Parameters
X (DataFrame) – features
y (Series) – labels
regression (bool) – if true, do not use stratified split
test_size (float) – percent of train set to holdout for testing
random_state (int) – seed for the random number generator
- Returns
features and labels each split into train and test sets
- Return type
DataFrame, DataFrame, Series, Series