dask_ml.datasets.make_counts
dask_ml.datasets.make_counts¶
- dask_ml.datasets.make_counts(n_samples=1000, n_features=100, n_informative=2, scale=1.0, chunks=100, random_state=None)¶
Generate a dummy dataset for modeling count data.
- Parameters
- n_samplesint
number of rows in the output array
- n_featuresint
number of columns (features) in the output array
- n_informativeint
number of features that are correlated with the outcome
- scalefloat
Scale the true coefficient array by this
- chunksint
Number of rows per dask array block.
- random_stateint, RandomState instance or None (default)
Determines random number generation for dataset creation. Pass an int for reproducible output across multiple function calls. See Glossary.
- Returns
- Xdask.array, size
(n_samples, n_features) - ydask.array, size
(n_samples,) array of non-negative integer-valued data
- Xdask.array, size
Examples
>>> X, y = make_counts()