Append a column of predictions to any CSV.
Drop in a few labeled rows and the rows you want scored. A machine learning model learns from your examples in a single pass — no training, no tuning, and nothing leaves this machine.
Drop in a few labeled rows and the rows you want scored. A machine learning model learns from your examples in a single pass — no training, no tuning, nothing to set up.
Labeled examples
CSV with feature columns plus the column you want to predict.
Rows to score
CSV whose columns also appear in file 1, without the target column. File 1 may have extra columns; only the ones both files share are used.
Predict
Learns from your labeled rows and scores the rest, locally.
Learns from your labeled rows and scores the rest.
First run downloads the model weights once; after that it works offline.
Scoring runs on our server; nothing is kept once you have your file.