RandomForestRegressor doesn't accept max_samples=1.0 #20156
Description
Describe the bug
This example from the doc works:
from sklearn.ensemble import RandomForestRegressor
from sklearn.datasets import make_regression
X, y = make_regression(n_features=4, n_informative=2,
random_state=0, shuffle=False)
regr = RandomForestRegressor(max_depth=2, random_state=0)
regr.fit(X, y)
print(regr.predict([[0, 0, 0, 0]]))Just changing one line to this:
regr = RandomForestRegressor(max_depth=2, random_state=0, max_samples=1.0)doesn't work anymore:
ValueError: `max_samples` must be in range (0, 1) but got value 1.0I believe max_samples=None (the default) and max_samples=1.0 should behave the same.
Steps/Code to Reproduce
see above
Versions
System:
python: 3.8.5 (default, Jan 27 2021, 15:41:15) [GCC 9.3.0]
executable: /usr/bin/python3
machine: Linux-5.8.0-53-generic-x86_64-with-glibc2.29
Python dependencies:
pip: 20.0.2
setuptools: 45.2.0
sklearn: 0.24.2
numpy: 1.17.4
scipy: 1.6.3
Cython: None
pandas: None
matplotlib: 3.4.2
joblib: 1.0.1
threadpoolctl: 2.1.0
Built with OpenMP: True