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set up model_audit to handle PCA use case #55

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Jun 18, 2024
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11 changes: 10 additions & 1 deletion macros/hooks/model_audit.sql
Original file line number Diff line number Diff line change
Expand Up @@ -92,7 +92,16 @@ logistic_reg:
feature_info: *default_feature_info
weights: ['*']
matrix_factorization: *default
pca: *default
pca:
training_info:
- training_run
- iteration
- cast(null as float64) as loss
- cast(null as float64) as eval_loss
- cast(null as float64) as learning_rate
- duration_ms
- array(select as struct null as centroid_id, cast(null as float64) as cluster_radius, null as cluster_size)
feature_info: *default_feature_info
autoencoder: *default
tensorflow: {}
tensorflow_lite: {}
Expand Down