Auto-deploy: accuracy=1.0

MLmodel

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+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.15
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.8.0
+    skops_trusted_types: null
+mlflow_version: 3.10.1
+model_id: null
+model_size_bytes: 196605
+model_uuid: 9d0f3566feef4e00881fd23dab663a91
+prompts: null
+utc_time_created: '2026-04-06 15:01:48.813192'

README.md

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+---
+tags:
+- sklearn
+- classification
+- wine
+---
+# Wine Classifier
+
+Trained with MLflow + scikit-learn as part of MLOps Assignment 2.
+
+| Metric | Value |
+|--------|-------|
+| Accuracy | 1.0 |
+| Dataset | Wine (sklearn) |
+| Classes | 3 (class_0, class_1, class_2) |
+
+## Usage
+```python
+import mlflow.sklearn
+model = mlflow.sklearn.load_model(".")
+predictions = model.predict(X)
+```

conda.yaml

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+channels:
+- conda-forge
+dependencies:
+- python=3.11.15
+- pip<=26.0.1
+- pip:
+  - mlflow==3.10.1
+  - cloudpickle==3.1.2
+  - numpy==2.4.4
+  - pandas==2.3.3
+  - pyarrow==23.0.1
+  - scikit-learn==1.8.0
+  - scipy==1.17.1
+name: mlflow-env

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:eb838e27a369a0d58a0b9daf0385b0d6881f590cc154e0ff1f6846342e7e0088
+size 196605

python_env.yaml

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+python: 3.11.15
+build_dependencies:
+- pip==26.0.1
+- setuptools==79.0.1
+- wheel
+dependencies:
+- -r requirements.txt

requirements.txt

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+mlflow==3.10.1
+cloudpickle==3.1.2
+numpy==2.4.4
+pandas==2.3.3
+pyarrow==23.0.1
+scikit-learn==1.8.0
+scipy==1.17.1