Description
I have a large training dataset (44 million rows, 9 columns). When I pass it into LightGBM and run the fit method, it throws this error.
The code I used is below. It's very short and fairly simple.
Reproducible example
import lightgbm as lbm
model = lbm.LGBMClassifier(learning_rate=0.2,max_depth=-5,random_state=42)
model.fit(X, y, verbose=1)
Environment info
Running a Windows 10 with 8GB ram. Using Anaconda and Jupyter notebook.
LightGBM version or commit hash:
LightGBM version 3.3.1
Command(s) you used to install LightGBM - I used a couple of different commands to try and fix the issue. All install commands were run through Jupyter notebook
!{sys.executable} -m pip install lightgbm
pip install --no-binary :all: lightgbm
Description
I have a large training dataset (44 million rows, 9 columns). When I pass it into LightGBM and run the fit method, it throws this error.
The code I used is below. It's very short and fairly simple.
Reproducible example
import lightgbm as lbm
model = lbm.LGBMClassifier(learning_rate=0.2,max_depth=-5,random_state=42)
model.fit(X, y, verbose=1)
Environment info
Running a Windows 10 with 8GB ram. Using Anaconda and Jupyter notebook.
LightGBM version or commit hash:
LightGBM version 3.3.1
Command(s) you used to install LightGBM - I used a couple of different commands to try and fix the issue. All install commands were run through Jupyter notebook
!{sys.executable} -m pip install lightgbm pip install --no-binary :all: lightgbm