Matrix decomposition reduces the number of dimensions in a vector, to improve relevance and reduce computation required.
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pgml.decompose(
project_name TEXT, -- project name
vector REAL[] -- features to decompose
)
| Parameter |
Example |
Description |
project_name |
'My First PostgresML Project' |
The project name used to train a decomposition model in pgml.train(). |
vector |
ARRAY[0.1, 0.45, 1.0] |
The feature vector to transform. |
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SELECT pgml.decompose('My PCA', ARRAY[0.1, 2.0, 5.0]);
PostgresML