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README.md

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----
-license: mit
----
+---
+library_name: sklearn
+tags:
+- sklearn
+- tabular-classification
+---
+
+# Model description
+
+This is a Logistic Regression model trained on iris dataset. This model could be used to predict type of iris flower, given certain dimensions. 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   |
+|-------------------|---------|
+| C                 | 1       |
+| class_weight      |         |
+| dual              | False   |
+| fit_intercept     | True    |
+| intercept_scaling | 1       |
+| l1_ratio          |         |
+| max_iter          | 100     |
+| multi_class       | auto    |
+| n_jobs            |         |
+| penalty           | l2      |
+| random_state      | 42      |
+| solver            | lbfgs   |
+| tol               | 0.0001  |
+| verbose           | 0       |
+| warm_start        | False   |
+
+</details>
+
+### Model Plot
+
+<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>LogisticRegression(C=1, 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">LogisticRegression</label><div class="sk-toggleable__content"><pre>LogisticRegression(C=1, 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/iris-classifier", "scaler.joblib")
+scaler = joblib.load("scaler.joblib")
+
+# Classifier model
+hf_hub_download("MelioAI/iris-classifier", "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": [
+            "sepal length (cm)",
+            "sepal width (cm)",
+            "petal length (cm)",
+            "petal width (cm)"
+        ],
+        "environment": [
+            "scikit-learn==1.2.2",
+            "joblib==1.4.2"
+        ],
+        "example_input": {
+            "petal length (cm)": [
+                1.0,
+                1.5,
+                4.4
+            ],
+            "petal width (cm)": [
+                0.2,
+                0.4,
+                1.4
+            ],
+            "sepal length (cm)": [
+                4.6,
+                5.7,
+                6.7
+            ],
+            "sepal width (cm)": [
+                3.6,
+                4.4,
+                3.1
+            ]
+        },
+        "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 sha256:083496c1afbbd1d106140f78aa315839c1b44b13cb970bb1248a7e8aafffe77e
+size 975

scaler.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:53f5eb1a1a71b9de259a040f7675c02519fc7abf3716ece34243edc8d6f09d10
+size 1095