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Always predict for status quo features trial index #2810
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This pull request was exported from Phabricator. Differential Revision: D63715134 |
Summary: Previously we had plots that looked like {F1904605463} After the same plot looks like {F1904608806} Differential Revision: D63715134
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This pull request was exported from Phabricator. Differential Revision: D63715134 |
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This pull request was exported from Phabricator. Differential Revision: D63715134 |
Summary: Pull Request resolved: facebook#2810 Previously we had plots that looked like {F1904605463} After the same plot looks like {F1904608806} Differential Revision: D63715134
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Summary: Previously we had plots that looked like {F1904605463} After the same plot looks like {F1904608806} Differential Revision: D63715134
f936ff5
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This pull request was exported from Phabricator. Differential Revision: D63715134 |
Summary: Pull Request resolved: facebook#2810 Previously we had plots that looked like {F1904605463} After the same plot looks like {F1904608806} Differential Revision: D63715134
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #2810 +/- ##
=======================================
Coverage 95.71% 95.71%
=======================================
Files 492 492
Lines 48583 48590 +7
=======================================
+ Hits 46499 46506 +7
Misses 2084 2084 ☔ View full report in Codecov by Sentry. |
Summary: Previously we had plots that looked like {F1904605463} After the same plot looks like {F1904608806} Differential Revision: D63715134
92ea568
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a4a53d3
Compare
This pull request was exported from Phabricator. Differential Revision: D63715134 |
Summary: Previously we had plots that looked like {F1904605463} After the same plot looks like {F1904608806} Differential Revision: D63715134
a4a53d3
to
fdc33ab
Compare
This pull request was exported from Phabricator. Differential Revision: D63715134 |
Summary: Previously we had plots that looked like {F1904605463} After the same plot looks like {F1904608806} Differential Revision: D63715134
fdc33ab
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c629a51
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This pull request was exported from Phabricator. Differential Revision: D63715134 |
Summary: Pull Request resolved: facebook#2810 Previously we had plots that looked like {F1904605463} After the same plot looks like {F1904608806} Differential Revision: D63715134
Summary: Pull Request resolved: facebook#2810 Previously we had plots that looked like {F1904605463} After the same plot looks like {F1904608806} Differential Revision: D63715134
Summary: Previously we had plots that looked like {F1904605463} After the same plot looks like {F1904608806} ##What's happening Because of nonstationarity, the same feature gets predicted differently in different trials. But the point of this plot is to show how well the parameterization does on the metric, so we want to standardize the trial index we're predicting on. Reviewed By: mgarrard Differential Revision: D63715134
c629a51
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This pull request was exported from Phabricator. Differential Revision: D63715134 |
Summary: Previously we had plots that looked like {F1904605463} After the same plot looks like {F1904608806} ##What's happening Because of nonstationarity, the same feature gets predicted differently in different trials. But the point of this plot is to show how well the parameterization does on the metric, so we want to standardize the trial index we're predicting on. Reviewed By: mgarrard Differential Revision: D63715134
2cc1092
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6a98621
Compare
This pull request was exported from Phabricator. Differential Revision: D63715134 |
Summary: Previously we had plots that looked like {F1904605463} After the same plot looks like {F1904608806} ##What's happening Because of nonstationarity, the same feature gets predicted differently in different trials. But the point of this plot is to show how well the parameterization does on the metric, so we want to standardize the trial index we're predicting on. Reviewed By: mgarrard Differential Revision: D63715134
6a98621
to
ba4053e
Compare
This pull request was exported from Phabricator. Differential Revision: D63715134 |
Summary: Previously we had plots that looked like {F1904605463} After the same plot looks like {F1904608806} ##What's happening Because of nonstationarity, the same feature gets predicted differently in different trials. But the point of this plot is to show how well the parameterization does on the metric, so we want to standardize the trial index we're predicting on. Reviewed By: mgarrard Differential Revision: D63715134
ba4053e
to
97598bc
Compare
This pull request was exported from Phabricator. Differential Revision: D63715134 |
Summary: Pull Request resolved: facebook#2810 Previously we had plots that looked like {F1904605463} After the same plot looks like {F1904608806} ##What's happening Because of nonstationarity, the same feature gets predicted differently in different trials. But the point of this plot is to show how well the parameterization does on the metric, so we want to standardize the trial index we're predicting on. Differential Revision: D63715134 Reviewed By: mgarrard
Summary: Pull Request resolved: facebook#2810 Previously we had plots that looked like {F1904605463} After the same plot looks like {F1904608806} ##What's happening Because of nonstationarity, the same feature gets predicted differently in different trials. But the point of this plot is to show how well the parameterization does on the metric, so we want to standardize the trial index we're predicting on. Differential Revision: D63715134 Reviewed By: mgarrard
Summary: Previously we had plots that looked like {F1904605463} After the same plot looks like {F1904608806} ##What's happening Because of nonstationarity, the same feature gets predicted differently in different trials. But the point of this plot is to show how well the parameterization does on the metric, so we want to standardize the trial index we're predicting on. Reviewed By: mgarrard Differential Revision: D63715134
97598bc
to
65081ec
Compare
This pull request was exported from Phabricator. Differential Revision: D63715134 |
Summary: Previously we had plots that looked like {F1904605463} After the same plot looks like {F1904608806} ##What's happening Because of nonstationarity, the same feature gets predicted differently in different trials. But the point of this plot is to show how well the parameterization does on the metric, so we want to standardize the trial index we're predicting on. Reviewed By: mgarrard Differential Revision: D63715134
65081ec
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Compare
This pull request was exported from Phabricator. Differential Revision: D63715134 |
This pull request has been merged in 71c68ee. |
Summary:
Previously we had plots that looked like {F1904605463}
After the same plot looks like
{F1904608806}
Differential Revision: D63715134