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README.md

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+---
+library_name: sklearn
+tags:
+- sklearn
+- tabular-regression
+---
+
+# Model description
+
+This is a linear regression model trained on California housing dataset. This model could be used to predict median price of a house in California, given certain features. This model is very basic and should only be used as an example of how to use Highwind.
+
+## Intended uses & limitations
+
+This model is made for the purposes of showing how to use Highwind only.
+
+## Training Procedure
+
+[More Information Needed]
+
+### Hyperparameters
+
+<details>
+<summary> Click to expand </summary>
+
+| Hyperparameter   | Value   |
+|------------------|---------|
+| alpha            | 0.01    |
+| copy_X           | True    |
+| fit_intercept    | True    |
+| max_iter         | 1000    |
+| positive         | False   |
+| precompute       | False   |
+| random_state     | 42      |
+| selection        | cyclic  |
+| tol              | 0.0001  |
+| warm_start       | False   |
+
+</details>
+
+### Model Plot
+
+<style>#sk-container-id-2 {color: black;}#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>Lasso(alpha=0.01, random_state=42)</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">Lasso</label><div class="sk-toggleable__content"><pre>Lasso(alpha=0.01, random_state=42)</pre></div></div></div></div></div>
+
+## Evaluation Results
+
+[More Information Needed]
+
+# How to Get Started with the Model
+
+
+```python
+import joblib
+from huggingface_hub import hf_hub_download
+
+# Feature scaler
+hf_hub_download("MelioAI/california-housing", "scaler.joblib")
+scaler = joblib.load("scaler.joblib")
+
+# Classifier model
+hf_hub_download("MelioAI/california-housing", "model.joblib")
+model = joblib.load("model.joblib")
+```
+
+
+# Model Card Authors
+
+MelioAI, ruanmelio
+
+# 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]
+```
+
+# Intended uses & limitations
+
+This model is made for the purposes of showing how to use Highwind only.

config.json

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+{
+    "sklearn": {
+        "columns": [
+            "MedInc",
+            "HouseAge",
+            "AveRooms",
+            "AveBedrms",
+            "Population",
+            "AveOccup",
+            "Latitude",
+            "Longitude"
+        ],
+        "environment": [
+            "scikit-learn==1.3.0",
+            "joblib==1.3.2"
+        ],
+        "example_input": {
+            "AveBedrms": [
+                1.0064205457463884,
+                1.041005291005291,
+                0.9851190476190476
+            ],
+            "AveOccup": [
+                3.691813804173355,
+                1.738095238095238,
+                2.7232142857142856
+            ],
+            "AveRooms": [
+                5.017656500802568,
+                4.473544973544974,
+                5.645833333333333
+            ],
+            "HouseAge": [
+                33.0,
+                49.0,
+                4.0
+            ],
+            "Latitude": [
+                32.71,
+                33.77,
+                34.66
+            ],
+            "Longitude": [
+                -117.03,
+                -118.16,
+                -120.48
+            ],
+            "MedInc": [
+                3.2596,
+                3.8125,
+                4.1563
+            ],
+            "Population": [
+                2300.0,
+                1314.0,
+                915.0
+            ]
+        },
+        "model": {
+            "file": "model.joblib"
+        },
+        "model_format": "pickle",
+        "task": "tabular-classification",
+        "use_intelex": false
+    }
+}

model.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9eb598e602c885159e4bb5cebd28e19094f17ad229c68abe0bd877aa25390b8c
+size 695

scaler.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3d9a9433d1e90ca0947c324140f9b1ce700bd7c5f1a4a8323b24497fbb8456b3
+size 1223