Add scikit-learn-intelex KNN model example

README.md

@@ -0,0 +1,135 @@
+---
+library_name: sklearn
+tags:
+- sklearn
+- skops
+- tabular-classification
+model_format: pickle
+model_file: model-optimized.pkl
+widget:
+  structuredData:
+    x0:
+    - -2.91869894329896
+    - 1.2861311367611363
+    - -0.17676780746347887
+    x1:
+    - 4.378017491251676
+    - -3.150744413325807
+    - -3.268596999474564
+    x10:
+    - 0.8047174523586147
+    - -1.2969581776011339
+    - 0.31762144434782824
+    x11:
+    - -3.2390344195350487
+    - 1.1959946004673214
+    - 0.7563114595834011
+    x12:
+    - -0.5746008540164298
+    - 3.3486745844798804
+    - 2.948767259442758
+    x13:
+    - 3.5915430703361673
+    - 3.5265729573580655
+    - 0.015963649217312414
+    x14:
+    - 0.8137258237766396
+    - -3.6846723813183138
+    - -0.0726270826536789
+    x2:
+    - 1.660608706929798
+    - -2.915945269906298
+    - -0.2966018717870358
+    x3:
+    - 5.717843051082721
+    - 0.6565179693281937
+    - 3.2575477536637036
+    x4:
+    - -1.319254071176227
+    - 3.2948523559028287
+    - 1.5435232801320602
+    x5:
+    - -2.9780546324477646
+    - -1.3618488406102902
+    - 1.5867699986090962
+    x6:
+    - 1.6471024314152358
+    - 1.3658191827488237
+    - -1.4529064414158699
+    x7:
+    - 0.3525021389263907
+    - 1.3302365122960365
+    - 0.09438131139298833
+    x8:
+    - -0.44858117376143913
+    - 0.9049016837557153
+    - 2.195212749960551
+    x9:
+    - 0.5394501179095126
+    - -2.85779169799503
+    - 1.3981326527555564
+---
+
+# Model description
+
+[More Information Needed]
+
+## Intended uses & limitations
+
+[More Information Needed]
+
+## Training Procedure
+
+### Hyperparameters
+
+The model is trained with below hyperparameters.
+
+<details>
+<summary> Click to expand </summary>
+
+| Hyperparameter   | Value     |
+|------------------|-----------|
+| algorithm        | auto      |
+| leaf_size        | 30        |
+| metric           | minkowski |
+| metric_params    |           |
+| n_jobs           |           |
+| n_neighbors      | 3         |
+| p                | 2         |
+| weights          | uniform   |
+
+</details>
+
+### Model Plot
+
+The model plot is below.
+
+<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-2" class="sk-top-container" style="overflow: auto;"><div class="sk-text-repr-fallback"><pre>KNeighborsClassifier(n_neighbors=3)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-2" type="checkbox" checked><label for="sk-estimator-id-2" class="sk-toggleable__label sk-toggleable__label-arrow">KNeighborsClassifier</label><div class="sk-toggleable__content"><pre>KNeighborsClassifier(n_neighbors=3)</pre></div></div></div></div></div>
+
+## Evaluation Results
+
+[More Information Needed]
+
+# How to Get Started with the Model
+
+[More Information Needed]
+
+# Model Card Authors
+
+This model card is written by following authors:
+
+[More Information Needed]
+
+# Model Card Contact
+
+You can contact the model card authors through following channels:
+[More Information Needed]
+
+# Citation
+
+Below you can find information related to citation.
+
+**BibTeX:**
+```
+[More Information Needed]
+```

config.json

@@ -0,0 +1,108 @@
+{
+    "sklearn": {
+        "columns": [
+            "x0",
+            "x1",
+            "x2",
+            "x3",
+            "x4",
+            "x5",
+            "x6",
+            "x7",
+            "x8",
+            "x9",
+            "x10",
+            "x11",
+            "x12",
+            "x13",
+            "x14"
+        ],
+        "environment": [
+            "scikit-learn=1.2.1",
+            "scikit-learn-intelex=2023.0.1"
+        ],
+        "example_input": {
+            "x0": [
+                -2.91869894329896,
+                1.2861311367611363,
+                -0.17676780746347887
+            ],
+            "x1": [
+                4.378017491251676,
+                -3.150744413325807,
+                -3.268596999474564
+            ],
+            "x10": [
+                0.8047174523586147,
+                -1.2969581776011339,
+                0.31762144434782824
+            ],
+            "x11": [
+                -3.2390344195350487,
+                1.1959946004673214,
+                0.7563114595834011
+            ],
+            "x12": [
+                -0.5746008540164298,
+                3.3486745844798804,
+                2.948767259442758
+            ],
+            "x13": [
+                3.5915430703361673,
+                3.5265729573580655,
+                0.015963649217312414
+            ],
+            "x14": [
+                0.8137258237766396,
+                -3.6846723813183138,
+                -0.0726270826536789
+            ],
+            "x2": [
+                1.660608706929798,
+                -2.915945269906298,
+                -0.2966018717870358
+            ],
+            "x3": [
+                5.717843051082721,
+                0.6565179693281937,
+                3.2575477536637036
+            ],
+            "x4": [
+                -1.319254071176227,
+                3.2948523559028287,
+                1.5435232801320602
+            ],
+            "x5": [
+                -2.9780546324477646,
+                -1.3618488406102902,
+                1.5867699986090962
+            ],
+            "x6": [
+                1.6471024314152358,
+                1.3658191827488237,
+                -1.4529064414158699
+            ],
+            "x7": [
+                0.3525021389263907,
+                1.3302365122960365,
+                0.09438131139298833
+            ],
+            "x8": [
+                -0.44858117376143913,
+                0.9049016837557153,
+                2.195212749960551
+            ],
+            "x9": [
+                0.5394501179095126,
+                -2.85779169799503,
+                1.3981326527555564
+            ]
+        },
+        "model": {
+            "file": "model-optimized.pkl"
+        },
+        "model_format": "pickle",
+        "task": "tabular-classification",
+        "use_intelex": false
+    }
+}

model-optimized.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:17fa477c722a3387017b6378d57aeaeacc715c57cdb37365018d37cef5204ffc
+size 9652316