Upload LogisticRegression.py

LogisticRegression.py

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+from sklearn.metrics import (
+
+    ConfusionMatrixDisplay,
+
+    confusion_matrix,
+
+    accuracy_score,
+
+    f1_score
+
+)
+
+import tempfile
+
+from pathlib import Path
+
+from sklearn.datasets import load_iris
+
+from sklearn.linear_model import LogisticRegression
+
+from skops import card
+
+X, y = load_iris(return_X_y=True)
+
+model = LogisticRegression(solver="liblinear", random_state=0).fit(X, y)
+
+model_card = card.Card(model)
+
+model_card.metadata.license = "mit"
+
+y_pred = model.predict(X)
+
+model_card.add_metrics(**{
+
+    "accuracy": accuracy_score(y, y_pred),
+
+    "f1 score": f1_score(y, y_pred, average="micro"),
+
+})
+
+model_card.add_plot(confusion_matrix="confusion_matrix.png")
+
+model_card.save("README2.md")