Skip to content

Added dtype parameter in np.cov() function call. #280

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

Merged
ZzEeKkAa merged 1 commit into from
Jun 20, 2023
Merged

Added dtype parameter in np.cov() function call. #280

Show file tree
Hide file tree
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
2 changes: 1 addition & 1 deletion dpbench/benchmarks/pca/pca_dpnp.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@ def pca(data, dims_rescaled_data=2):
data -= data.mean(axis=0)

# calculate the covariance matrix
v = np.cov(data, rowvar=False)
v = np.cov(data, rowvar=False, dtype=data.dtype)

# calculate eigenvectors & eigenvalues of the covariance matrix
evalues, evectors = np.linalg.eigh(v)
Expand Down
2 changes: 1 addition & 1 deletion dpbench/benchmarks/pca/pca_numpy.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@ def pca(data, dims_rescaled_data=2):
data -= data.mean(axis=0)

# calculate the covariance matrix
v = np.cov(data, rowvar=False)
v = np.cov(data, rowvar=False, dtype=data.dtype)

# calculate eigenvectors & eigenvalues of the covariance matrix
evalues, evectors = np.linalg.eigh(v)
Expand Down