Skip to content

dataset change due to the fact that the old one is no longer supported #119

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
MarkDanielArndt wants to merge 1 commit into
base: master
Choose a base branch
from
Open

dataset change due to the fact that the old one is no longer supported #119

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 3 additions & 3 deletions blitz/examples/bayesian_regression_boston.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,11 +7,11 @@
from blitz.modules import BayesianLinear
from blitz.utils import variational_estimator

from sklearn.datasets import load_boston
from sklearn.datasets import fetch_california_housing
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split

X, y = load_boston(return_X_y=True)
X, y = fetch_california_housing(return_X_y=True)
X = StandardScaler().fit_transform(X)
y = StandardScaler().fit_transform(np.expand_dims(y, -1))

Expand Down Expand Up @@ -55,7 +55,7 @@ def evaluate_regression(regressor,
return ic_acc, (ci_upper >= y).float().mean(), (ci_lower <= y).float().mean()

device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
regressor = BayesianRegressor(13, 1).to(device)
regressor = BayesianRegressor(8, 1).to(device)
optimizer = optim.Adam(regressor.parameters(), lr=0.01)
criterion = torch.nn.MSELoss()

Expand Down