We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
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
predict_op = tf.argmax(py_x, 1) # at predict time, evaluate the argmax of the logistic regression
here what to do if I want to choose one column of py_x, like py_x[1] ?
Also it would be of great help if we have example of showing how to do text classification using tensorflow( sparse feature).
Example of showing how to evaluate using auc instead of precision is greatly appreciated.
The text was updated successfully, but these errors were encountered:
I think tf.slice(...) might be what you want for getting 1 column. Let us know if that doesn't work!
You might also want to follow #206
As for text classification: I'm sure that will be added over time (either by us or externally).
Sorry, something went wrong.
DimOp folding for alloc/view dynamic dimensions
1629894
Signed-off-by: Uday Bondhugula <uday@polymagelabs.com> Closes #253 COPYBARA_INTEGRATE_REVIEW=tensorflow/mlir#253 from bondhugula:dimop a4b464f24ae63fd259114558d87e11b8ee4dae86 PiperOrigin-RevId: 284169689 Change-Id: I4b0aaf508668ebd35e3abc12e0e2d661f996995d
No branches or pull requests
predict_op = tf.argmax(py_x, 1) # at predict time, evaluate the argmax of the logistic regression
here what to do if I want to choose one column of py_x, like py_x[1] ?
Also it would be of great help if we have example of showing how to do text classification using tensorflow( sparse feature).
Example of showing how to evaluate using auc instead of precision is greatly appreciated.
The text was updated successfully, but these errors were encountered: