{"business":{"endpoints":["POST /v1/models","GET /v1/models","GET /v1/models/{name}","POST /v1/models/{name}/predict","DELETE /v1/models/{name}"],"host":"score.mojojojo.cc","kind":"model","live":true,"meters":[{"free_per_month":100,"id":"model.score.rows","label":"Rows trained or scored","unit":"1k rows","usd_per_unit":0.002}],"model":"scikit-learn HistGradientBoosting + ExtraTrees, exported to the Mojo forest kernel","notes":["Binary targets only; up to 200,000 rows and 200 feature columns; training is capped at 120 seconds. Rows with numbers and strings; missing values are imputed.","Models are private to your account. The response includes a holdout AUC from a 80/20 split when you send at least 100 rows.","Serving is exact: probabilities match scikit-learn to 1e-15 on the shipped benchmark models.","Speed versus scikit-learn on 2 cores: 12-570x at batch 1, 2-8x at batch 64-1024, 1.0-4x at batch 8192 (gradient boosting is only 1.03x at large batch).","Not for credit, hiring, insurance or medical decisions."],"pitch":"Train a tree ensemble on your rows, then score at up to 570x scikit-learn's single-row speed on Mojo kernels","repo":"https://github.com/lee101/mojobusinesses","slug":"score","status":"built","title":"Tabular Score API"},"ok":true}