Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
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.
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
Add implementation details docs page, note on propto=True for log_density #192
Add implementation details docs page, note on propto=True for log_density #192
Changes from 2 commits
509608a
1c85b24
2e9550b
File filter
Filter by extension
Conversations
Jump to
There are no files selected for viewing
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
I would phrase this as having the ability to drop constants. Then I'd give simple recommendations:
propto = true
. Settingpropto=true
will be at least as fast.double
values to match, usepropto=true
. Settingpropto=true
may be slower or faster, depending on the cost of calculating normalizing constants (propto=false
) and the cost of autodiff (required to get the right answer ifpropto=true
).I don't think we need to say much more than that.
Why the double back ticks?
I couldn't understand what lines 34/35 were doing.
I'd just give simple recommendations:
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
The double back ticks are how ReStructuredText (that sphinx uses) wants code formatted. They're equivalent to single backticks in Markdown. Lines 34/35 are also a RST detail to get a link that is also
code formatted
. The result is that "|reduce_sum|" above gets rendered asreduce_sum
I agree phrasing it in terms of a suggestion for each case is clearer. I left the explanation in, but under a sub-heading for the curious.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
I think it would be good to restate the "only needs the log density up to a proportion" bit again in this paragraph.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Why? We're recommending setting it to
False
in this paragraph, which is safe for all usages