Dodanie model.joblib + README

README.md

@@ -18,4 +18,32 @@ Tabela z kolumnami:
 
 ## Wyjście
 - predict: klasa (0/1/2)
-- predict_proba: prawdopodobieństwa klas
+- predict_proba: prawdopodobieństwa klas
+
+## Przykład użycia
+```python
+import joblib
+import pandas as pd
+from huggingface_hub import hf_hub_download
+import numpy as np
+
+repo_id = "studentscolab/iris"
+
+model_path = hf_hub_download(repo_id=repo_id, filename="model.joblib")
+model = joblib.load(model_path)
+
+x = pd.DataFrame([{
+    "sepal length (cm)": 5.1,
+    "sepal width (cm)": 3.5,
+    "petal length (cm)": 1.4,
+    "petal width (cm)": 0.2,
+}])
+
+np.set_printoptions(precision=10, suppress=True)
+
+pred = model.predict(x)[0]
+proba = model.predict_proba(x)[0]
+print("classes:", model.classes_)
+print("pred:", pred)
+print("proba:", proba)
+```