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Update app.py
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app.py
CHANGED
@@ -102,7 +102,7 @@ y4_valid = x4_valid.pop('OUTCOME')
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#Training models.
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from tabpfn import TabPFNClassifier
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tabpfn = TabPFNClassifier(device='
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y1_model = tabpfn
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y1_model = y1_model.fit(x1, y1, overwrite_warning=True)
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@@ -114,7 +114,7 @@ y1_explainer = shap.Explainer(y1_calib_model.predict, x1)
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from tabpfn import TabPFNClassifier
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tabpfn = TabPFNClassifier(device='
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y2_model = tabpfn
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y2_model = y2_model.fit(x2, y2, overwrite_warning=True)
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@@ -126,7 +126,7 @@ y2_explainer = shap.Explainer(y2_calib_model.predict, x2)
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from tabpfn import TabPFNClassifier
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tabpfn = TabPFNClassifier(device='
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y3_model = tabpfn
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y3_model = y3_model.fit(x3, y3, overwrite_warning=True)
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@@ -138,7 +138,7 @@ y3_explainer = shap.Explainer(y3_calib_model.predict, x3)
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from tabpfn import TabPFNClassifier
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tabpfn = TabPFNClassifier(device='
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y4_model = tabpfn
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y4_model = y4_model.fit(x4, y4, overwrite_warning=True)
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#Training models.
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from tabpfn import TabPFNClassifier
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tabpfn = TabPFNClassifier(device='cuda', N_ensemble_configurations=1)
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y1_model = tabpfn
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y1_model = y1_model.fit(x1, y1, overwrite_warning=True)
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from tabpfn import TabPFNClassifier
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tabpfn = TabPFNClassifier(device='cuda', N_ensemble_configurations=1)
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y2_model = tabpfn
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y2_model = y2_model.fit(x2, y2, overwrite_warning=True)
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from tabpfn import TabPFNClassifier
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tabpfn = TabPFNClassifier(device='cuda', N_ensemble_configurations=1)
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y3_model = tabpfn
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y3_model = y3_model.fit(x3, y3, overwrite_warning=True)
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from tabpfn import TabPFNClassifier
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tabpfn = TabPFNClassifier(device='cuda', N_ensemble_configurations=1)
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y4_model = tabpfn
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y4_model = y4_model.fit(x4, y4, overwrite_warning=True)
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