GS_ABO_MODEL_STATISTIC
GS_ABO_MODEL_STATISTIC records the metadata, model name, and operator information of the ABO-based model estimation based on the feedback cardinality.
|
Name |
Data Type |
Description |
|---|---|---|
|
oid |
oid |
Hidden column. |
|
modelname |
name |
Model name, which is unique. |
|
createtime |
timestamp |
Time when a model is created or updated. |
|
groupkey |
oid |
Hash of the operator corresponding to the model. |
|
joinkey |
oid |
Hash of the operator connection shape corresponding to the model. |
|
fixed_selectivity |
real |
Fixed selectivity for operators that do not contain numeric conditions. |
|
avg_qerror |
real |
Average errors of qerror in the model. |
|
max_qerror |
real |
Maximum errors of qerror in the model. |
|
feedback_num |
integer |
Model training data volume. |
|
status |
integer |
Model status. The value 0 indicates that the model is invalid. The value 1 indicates that the model is valid. The value 2 indicates that the model is to be updated. The value 3 indicates that the model is in the blocklist. |
|
train_count |
integer |
Total number of model training times. |
|
train_failure_count |
integer |
Number of model training failures. |
|
prediction_count |
integer |
Total number of prediction times of a model. |
|
predfiction_failure_count |
integer |
Number of model prediction failures. |
|
rtable_ids |
oid[] |
Sequence of entering model conditions in the base table. |
|
attnums |
int2[] |
Model condition input condition involves the column sequence. |
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