Initial commit: iris model

README.md

@@ -1,3 +1,38 @@
 ---
 license: apache-2.0
 ---
+
+# Iris Classifier Logistic Regression
+
+This is a simple logistic regression model trained on the classic Iris dataset using scikit-learn.
+
+## Model Details
+
+- **Model type:** Logistic Regression
+- **Library:** scikit-learn
+- **Features:** `sepal_length`, `sepal_width`, `petal_length`, `petal_width`
+- **Classes:** setosa, versicolor, virginica
+
+## Usage
+
+```python
+import joblib
+import pandas as pd
+
+model = joblib.load("model.joblib")
+sample = pd.DataFrame([[5.1, 3.5, 1.4, 0.2]], columns=["sepal_length", "sepal_width", "petal_length", "petal_width"])
+pred = model.predict(sample)
+print(pred)
+```
+
+requirements.txt
+```txt
+scikit-learn
+pandas
+joblib
+```
+
+Признаки	Вид
+5.1 3.5 1.4 0.2	setosa
+6.0 2.2 4.0 1.0	versicolor
+6.9 3.1 5.4 2.1	virginica

config.json

@@ -0,0 +1,6 @@
+{
+  "model_type": "logistic_regression",
+  "features": ["sepal_length", "sepal_width", "petal_length", "petal_width"],
+  "classes": ["setosa", "versicolor", "virginica"],
+  "library": "scikit-learn"
+}

inference.py

@@ -0,0 +1,29 @@
+import sys
+import joblib
+import pandas as pd
+
+# Загрузка модели
+model = joblib.load("model.joblib")
+
+# Проверка аргументов
+if len(sys.argv) != 5:
+    print("❌ Usage: python3 inference.py <sepal_length> <sepal_width> <petal_length> <petal_width>")
+    sys.exit(1)
+
+# Преобразование входных значений
+sepal_length = float(sys.argv[1])
+sepal_width = float(sys.argv[2])
+petal_length = float(sys.argv[3])
+petal_width = float(sys.argv[4])
+
+# Формирование DataFrame с названиями признаков
+input_data = pd.DataFrame([{
+    "sepal_length": sepal_length,
+    "sepal_width": sepal_width,
+    "petal_length": petal_length,
+    "petal_width": petal_width
+}])
+
+# Предсказание
+prediction = model.predict(input_data)
+print(f"🌸 Predicted class: {prediction[0]}")

model.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8d68c2b8268b0f114a2b87c940516e8413f36087e0aba78d6f6e15ff35d624de
+size 1407

requirements.txt

@@ -0,0 +1,3 @@
+scikit-learn
+pandas
+joblib