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fix: multioutput prediction with y preprocessing #19

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Sep 18, 2024
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fix: multioutput prediction with y preprocessing #19

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7 changes: 4 additions & 3 deletions src/helpers/predict_methods.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,6 +14,8 @@ def predict_onnx(model, dataset: JaqpotpyDataset, request):
# onnx_prediction is being reshaped to a 2D array to avoid errors
# when the model has only one dependent feature. In multi-output models,
# onnx_prediction is already a 2D array.
else:
onnx_prediction = onnx_prediction[0]

if request.model["extraConfig"]["preprocessors"]:
for i in reversed(range(len(request.model["extraConfig"]["preprocessors"]))):
Expand All @@ -28,9 +30,8 @@ def predict_onnx(model, dataset: JaqpotpyDataset, request):

if len(request.model["dependentFeatures"]) == 1:
onnx_prediction = onnx_prediction.flatten()
return onnx_prediction
else:
return onnx_prediction[0]

return onnx_prediction


def predict_proba_onnx(model, dataset: JaqpotpyDataset, request):
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