diff --git a/pgml-extension/examples/image_classification.sql b/pgml-extension/examples/image_classification.sql index 33e6fd773..278195f89 100644 --- a/pgml-extension/examples/image_classification.sql +++ b/pgml-extension/examples/image_classification.sql @@ -22,7 +22,7 @@ SELECT left(image::text, 40) || ',...}', target FROM pgml.digits LIMIT 10; SELECT * FROM pgml.train('Handwritten Digits', 'classification', 'pgml.digits', 'target'); -- check out the predictions -SELECT target, pgml.predict('Handwritten Digits', image::FLOAT4[]) AS prediction +SELECT target, pgml.predict('Handwritten Digits', image) AS prediction FROM pgml.digits LIMIT 10; @@ -95,6 +95,6 @@ SELECT * FROM pgml.deploy('Handwritten Digits', 'rollback'); SELECT * FROM pgml.deploy('Handwritten Digits', 'best_score', 'svm'); -- check out the improved predictions -SELECT target, pgml.predict('Handwritten Digits', image::FLOAT4[]) AS prediction +SELECT target, pgml.predict('Handwritten Digits', image) AS prediction FROM pgml.digits LIMIT 10; diff --git a/pgml-extension/src/api.rs b/pgml-extension/src/api.rs index cf966e21a..20f3cda7f 100644 --- a/pgml-extension/src/api.rs +++ b/pgml-extension/src/api.rs @@ -414,10 +414,35 @@ fn deploy( } #[pg_extern(strict, name = "predict")] -fn predict(project_name: &str, features: Vec) -> f32 { +fn predict_f32(project_name: &str, features: Vec) -> f32 { predict_model(Project::get_deployed_model_id(project_name), features) } +#[pg_extern(strict, name = "predict")] +fn predict_f64(project_name: &str, features: Vec) -> f32 { + predict_f32(project_name, features.iter().map(|&i| i as f32).collect()) +} + +#[pg_extern(strict, name = "predict")] +fn predict_i16(project_name: &str, features: Vec) -> f32 { + predict_f32(project_name, features.iter().map(|&i| i as f32).collect()) +} + +#[pg_extern(strict, name = "predict")] +fn predict_i32(project_name: &str, features: Vec) -> f32 { + predict_f32(project_name, features.iter().map(|&i| i as f32).collect()) +} + +#[pg_extern(strict, name = "predict")] +fn predict_i64(project_name: &str, features: Vec) -> f32 { + predict_f32(project_name, features.iter().map(|&i| i as f32).collect()) +} + +#[pg_extern(strict, name = "predict")] +fn predict_bool(project_name: &str, features: Vec) -> f32 { + predict_f32(project_name, features.iter().map(|&i| i as u8 as f32).collect()) +} + #[pg_extern(strict, name = "predict_proba")] fn predict_proba(project_name: &str, features: Vec) -> Vec { predict_model_proba(Project::get_deployed_model_id(project_name), features) pFad - Phonifier reborn

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