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feat: Support complex metrics in Vertex Experiments #1698
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* feat: new class and API for metrics * update system test * update high level log method * fix system test * update example * change from system schema to google schema
Here is the summary of changes. You are about to add 2 region tags.
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LGTM for Samples.
samples/model-builder/experiment_tracking/log_classification_metrics_sample.py
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samples/model-builder/experiment_tracking/log_classification_metrics_sample.py
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…etrics_sample.py Co-authored-by: Dan Lee <[email protected]>
…-aiplatform into complex-metrics
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Thank you! Sounds good.
Co-authored-by: Dan Lee <[email protected]>
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Nice work Jaycee! Mainly LGTM. Minor comments. Thanks!
…-aiplatform into complex-metrics
@sasha-gitg all the comments have been addressed. Please review again. Thank you! |
Hi @SinaChavoshi @KevinBNaughton , I've updated the ClassificationMetrics class. Please review |
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I looked through the schema/google and schema/utils.py and they look good to me. Thanks for adding this! Can we wait to submit this PR until the regions are backfilled, or tested on autopush first to make sure that backfilling regions does not cause any issues?
Thanks for the review! We plan to submit this PR today or tomorrow, and launch this feature next Monday. Otherwise the release freeze starts and we won't be able to launch it until Nov. Do you know when will we backfill regions? |
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Nice work! few minor comments otherwise looks good to me.
Vertex Experiments OKR:
[P0] Launch support for visualization of confusion matrices
[P0] Launch support for visualization of AUC/ROC curves
Design Doc: https://docs.google.com/document/d/1LpO7hl2z6d_8smvhNXmGDXrS89A-j8g7ew6j5bkXmQE/edit?resourcekey=0-p42-rx_ZNnHS-WxKHVxkFQ#heading=h.foacqi32i926