Upload main.py

main.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
+from skops import hub_utils
+# hub_utils.download(repo_id="scikit-learn/tabular-playground", dst = "./dst")
+
+
+import pickle
+model = pickle.load(open("./dst/model.pkl", "rb"))
+
+# model = LogisticRegression(solver="liblinear", random_state=0).fit(X, y)
+
+model_card = card.Card(model)
+
+model_card.metadata.license = "mit"
+
+model_card.add(
+    citation_bibtex="""
+    
+    # h1
+    tjos osmda
+
+    """,
+    trainingprocedure="123",
+)
+
+
+model_card.save("README.md")