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README.md

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+
+# Model description
+
+This is a Linear Regression model trained on wine quality data. It predicts quality scores from physicochemical measurements.
+
+## Intended uses & limitations
+
+This model is made for educational purposes and is not ready to be used in production.
+
+## Training Procedure
+
+[More Information Needed]
+
+### Hyperparameters
+
+<details>
+<summary> Click to expand </summary>
+
+| Hyperparameter | Value |
+| :------------: | :---: |
+|     copy_X     |  True |
+| fit_intercept  |  True |
+|     n_jobs     |  None |
+|    positive    | False |
+|      tol       | 1e-06 |
+
+</details>
+
+### Model Plot
+
+<style>#sk-container-id-5 {/* Definition of color scheme common for light and dark mode */--sklearn-color-text: #000;--sklearn-color-text-muted: #666;--sklearn-color-line: gray;/* Definition of color scheme for unfitted estimators */--sklearn-color-unfitted-level-0: #fff5e6;--sklearn-color-unfitted-level-1: #f6e4d2;--sklearn-color-unfitted-level-2: #ffe0b3;--sklearn-color-unfitted-level-3: chocolate;/* Definition of color scheme for fitted estimators */--sklearn-color-fitted-level-0: #f0f8ff;--sklearn-color-fitted-level-1: #d4ebff;--sklearn-color-fitted-level-2: #b3dbfd;--sklearn-color-fitted-level-3: cornflowerblue;/* Specific color for light theme */--sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));--sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));--sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));--sklearn-color-icon: #696969;@media (prefers-color-scheme: dark) {/* Redefinition of color scheme for dark theme */--sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));--sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));--sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));--sklearn-color-icon: #878787;}
+}#sk-container-id-5 {color: var(--sklearn-color-text);
+}#sk-container-id-5 pre {padding: 0;
+}#sk-container-id-5 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-5 div.sk-dashed-wrapped {border: 1px dashed var(--sklearn-color-line);margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: var(--sklearn-color-background);
+}#sk-container-id-5 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 thedefault 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-5 div.sk-text-repr-fallback {display: none;
+}div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {/* draw centered vertical line to link estimators */background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));background-size: 2px 100%;background-repeat: no-repeat;background-position: center center;
+}/* Parallel-specific style estimator block */#sk-container-id-5 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 2px solid var(--sklearn-color-text-on-default-background);flex-grow: 1;
+}#sk-container-id-5 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: var(--sklearn-color-background);position: relative;
+}#sk-container-id-5 div.sk-parallel-item {display: flex;flex-direction: column;
+}#sk-container-id-5 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;
+}#sk-container-id-5 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;
+}#sk-container-id-5 div.sk-parallel-item:only-child::after {width: 0;
+}/* Serial-specific style estimator block */#sk-container-id-5 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: var(--sklearn-color-background);padding-right: 1em;padding-left: 1em;
+}/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*//* Pipeline and ColumnTransformer style (default) */#sk-container-id-5 div.sk-toggleable {/* Default theme specific background. It is overwritten whether we have aspecific estimator or a Pipeline/ColumnTransformer */background-color: var(--sklearn-color-background);
+}/* Toggleable label */
+#sk-container-id-5 label.sk-toggleable__label {cursor: pointer;display: flex;width: 100%;margin-bottom: 0;padding: 0.5em;box-sizing: border-box;text-align: center;align-items: start;justify-content: space-between;gap: 0.5em;
+}#sk-container-id-5 label.sk-toggleable__label .caption {font-size: 0.6rem;font-weight: lighter;color: var(--sklearn-color-text-muted);
+}#sk-container-id-5 label.sk-toggleable__label-arrow:before {/* Arrow on the left of the label */content: "▸";float: left;margin-right: 0.25em;color: var(--sklearn-color-icon);
+}#sk-container-id-5 label.sk-toggleable__label-arrow:hover:before {color: var(--sklearn-color-text);
+}/* Toggleable content - dropdown */#sk-container-id-5 div.sk-toggleable__content {display: none;text-align: left;/* unfitted */background-color: var(--sklearn-color-unfitted-level-0);
+}#sk-container-id-5 div.sk-toggleable__content.fitted {/* fitted */background-color: var(--sklearn-color-fitted-level-0);
+}#sk-container-id-5 div.sk-toggleable__content pre {margin: 0.2em;border-radius: 0.25em;color: var(--sklearn-color-text);/* unfitted */background-color: var(--sklearn-color-unfitted-level-0);
+}#sk-container-id-5 div.sk-toggleable__content.fitted pre {/* unfitted */background-color: var(--sklearn-color-fitted-level-0);
+}#sk-container-id-5 input.sk-toggleable__control:checked~div.sk-toggleable__content {/* Expand drop-down */display: block;width: 100%;overflow: visible;
+}#sk-container-id-5 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";
+}/* Pipeline/ColumnTransformer-specific style */#sk-container-id-5 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {color: var(--sklearn-color-text);background-color: var(--sklearn-color-unfitted-level-2);
+}#sk-container-id-5 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: var(--sklearn-color-fitted-level-2);
+}/* Estimator-specific style *//* Colorize estimator box */
+#sk-container-id-5 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {/* unfitted */background-color: var(--sklearn-color-unfitted-level-2);
+}#sk-container-id-5 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {/* fitted */background-color: var(--sklearn-color-fitted-level-2);
+}#sk-container-id-5 div.sk-label label.sk-toggleable__label,
+#sk-container-id-5 div.sk-label label {/* The background is the default theme color */color: var(--sklearn-color-text-on-default-background);
+}/* On hover, darken the color of the background */
+#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {color: var(--sklearn-color-text);background-color: var(--sklearn-color-unfitted-level-2);
+}/* Label box, darken color on hover, fitted */
+#sk-container-id-5 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {color: var(--sklearn-color-text);background-color: var(--sklearn-color-fitted-level-2);
+}/* Estimator label */#sk-container-id-5 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;
+}#sk-container-id-5 div.sk-label-container {text-align: center;
+}/* Estimator-specific */
+#sk-container-id-5 div.sk-estimator {font-family: monospace;border: 1px dotted var(--sklearn-color-border-box);border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;/* unfitted */background-color: var(--sklearn-color-unfitted-level-0);
+}#sk-container-id-5 div.sk-estimator.fitted {/* fitted */background-color: var(--sklearn-color-fitted-level-0);
+}/* on hover */
+#sk-container-id-5 div.sk-estimator:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-2);
+}#sk-container-id-5 div.sk-estimator.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-2);
+}/* Specification for estimator info (e.g. "i" and "?") *//* Common style for "i" and "?" */.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {float: right;font-size: smaller;line-height: 1em;font-family: monospace;background-color: var(--sklearn-color-background);border-radius: 1em;height: 1em;width: 1em;text-decoration: none !important;margin-left: 0.5em;text-align: center;/* unfitted */border: var(--sklearn-color-unfitted-level-1) 1pt solid;color: var(--sklearn-color-unfitted-level-1);
+}.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {/* fitted */border: var(--sklearn-color-fitted-level-1) 1pt solid;color: var(--sklearn-color-fitted-level-1);
+}/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-3);color: var(--sklearn-color-background);text-decoration: none;
+}div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-3);color: var(--sklearn-color-background);text-decoration: none;
+}/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {display: none;z-index: 9999;position: relative;font-weight: normal;right: .2ex;padding: .5ex;margin: .5ex;width: min-content;min-width: 20ex;max-width: 50ex;color: var(--sklearn-color-text);box-shadow: 2pt 2pt 4pt #999;/* unfitted */background: var(--sklearn-color-unfitted-level-0);border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}.sk-estimator-doc-link.fitted span {/* fitted */background: var(--sklearn-color-fitted-level-0);border: var(--sklearn-color-fitted-level-3);
+}.sk-estimator-doc-link:hover span {display: block;
+}/* "?"-specific style due to the `<a>` HTML tag */#sk-container-id-5 a.estimator_doc_link {float: right;font-size: 1rem;line-height: 1em;font-family: monospace;background-color: var(--sklearn-color-background);border-radius: 1rem;height: 1rem;width: 1rem;text-decoration: none;/* unfitted */color: var(--sklearn-color-unfitted-level-1);border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}#sk-container-id-5 a.estimator_doc_link.fitted {/* fitted */border: var(--sklearn-color-fitted-level-1) 1pt solid;color: var(--sklearn-color-fitted-level-1);
+}/* On hover */
+#sk-container-id-5 a.estimator_doc_link:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-3);color: var(--sklearn-color-background);text-decoration: none;
+}#sk-container-id-5 a.estimator_doc_link.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-3);
+}.estimator-table summary {padding: .5rem;font-family: monospace;cursor: pointer;
+}.estimator-table details[open] {padding-left: 0.1rem;padding-right: 0.1rem;padding-bottom: 0.3rem;
+}.estimator-table .parameters-table {margin-left: auto !important;margin-right: auto !important;
+}.estimator-table .parameters-table tr:nth-child(odd) {background-color: #fff;
+}.estimator-table .parameters-table tr:nth-child(even) {background-color: #f6f6f6;
+}.estimator-table .parameters-table tr:hover {background-color: #e0e0e0;
+}.estimator-table table td {border: 1px solid rgba(106, 105, 104, 0.232);
+}.user-set td {color:rgb(255, 94, 0);text-align: left;
+}.user-set td.value pre {color:rgb(255, 94, 0) !important;background-color: transparent !important;
+}.default td {color: black;text-align: left;
+}.user-set td i,
+.default td i {color: black;
+}.copy-paste-icon {background-image: url(data:image/svg+xml;base64,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);background-repeat: no-repeat;background-size: 14px 14px;background-position: 0;display: inline-block;width: 14px;height: 14px;cursor: pointer;
+}
+</style><body><div id="sk-container-id-5" class="sk-top-container" style="overflow: auto;"><div class="sk-text-repr-fallback"><pre>LinearRegression()</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 fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-5" type="checkbox" checked><label for="sk-estimator-id-5" class="sk-toggleable__label fitted sk-toggleable__label-arrow"><div><div>LinearRegression</div></div><div><a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.7/modules/generated/sklearn.linear_model.LinearRegression.html">?<span>Documentation for LinearRegression</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></div></label><div class="sk-toggleable__content fitted" data-param-prefix=""><div class="estimator-table"><details><summary>Parameters</summary><table class="parameters-table"><tbody><tr class="default"><td><i class="copy-paste-icon"onclick="copyToClipboard('fit_intercept',this.parentElement.nextElementSibling)"></i></td><td class="param">fit_intercept&nbsp;</td><td class="value">True</td></tr><tr class="default"><td><i class="copy-paste-icon"onclick="copyToClipboard('copy_X',this.parentElement.nextElementSibling)"></i></td><td class="param">copy_X&nbsp;</td><td class="value">True</td></tr><tr class="default"><td><i class="copy-paste-icon"onclick="copyToClipboard('tol',this.parentElement.nextElementSibling)"></i></td><td class="param">tol&nbsp;</td><td class="value">1e-06</td></tr><tr class="default"><td><i class="copy-paste-icon"onclick="copyToClipboard('n_jobs',this.parentElement.nextElementSibling)"></i></td><td class="param">n_jobs&nbsp;</td><td class="value">None</td></tr><tr class="default"><td><i class="copy-paste-icon"onclick="copyToClipboard('positive',this.parentElement.nextElementSibling)"></i></td><td class="param">positive&nbsp;</td><td class="value">False</td></tr></tbody></table></details></div></div></div></div></div></div><script>function copyToClipboard(text, element) {// Get the parameter prefix from the closest toggleable contentconst toggleableContent = element.closest('.sk-toggleable__content');const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;const originalStyle = element.style;const computedStyle = window.getComputedStyle(element);const originalWidth = computedStyle.width;const originalHTML = element.innerHTML.replace('Copied!', '');navigator.clipboard.writeText(fullParamName).then(() => {element.style.width = originalWidth;element.style.color = 'green';element.innerHTML = "Copied!";setTimeout(() => {element.innerHTML = originalHTML;element.style = originalStyle;}, 2000);}).catch(err => {console.error('Failed to copy:', err);element.style.color = 'red';element.innerHTML = "Failed!";setTimeout(() => {element.innerHTML = originalHTML;element.style = originalStyle;}, 2000);});return false;
+}document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {const toggleableContent = element.closest('.sk-toggleable__content');const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';const paramName = element.parentElement.nextElementSibling.textContent.trim();const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;element.setAttribute('title', fullParamName);
+});
+</script></body>
+
+## Evaluation Results
+
+[More Information Needed]
+
+# How to Get Started with the Model
+
+[More Information Needed]
+
+# Model Card Authors
+
+Christian Romualdo
+
+# 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 educational purposes and is not ready to be used in production.

config.json

@@ -0,0 +1,93 @@
+{
+  "sklearn": {
+    "columns": [
+      "fixed acidity",
+      "volatile acidity",
+      "citric acid",
+      "residual sugar",
+      "chlorides",
+      "free sulfur dioxide",
+      "total sulfur dioxide",
+      "density",
+      "pH",
+      "sulphates",
+      "alcohol",
+      "wide_type",
+      "quality"
+    ],
+    "environment": [
+      "scikit-learn=1.3.2"
+    ],
+    "example_input": {
+      "fixed acidity": [
+        7.4,
+        7.8,
+        7.3
+      ],
+      "volatile acidity": [
+        0.7,
+        0.88,
+        0.65
+      ],
+      "citric acid": [
+        0.0,
+        0.0,
+        0.0
+      ],
+      "residual sugar": [
+        1.9,
+        2.6,
+        1.2
+      ],
+      "chlorides": [
+        0.076,
+        0.098,
+        0.065
+      ],
+      "free sulfur dioxide": [
+        11,
+        25,
+        15
+      ],
+      "total sulfur dioxide": [
+        34,
+        67,
+        21
+      ],
+      "density": [
+        0.9978,
+        0.9968,
+        0.997
+      ],
+      "pH": [
+        3.51,
+        3.2,
+        3.39
+      ],
+      "sulphates": [
+        0.56,
+        0.68,
+        0.47
+      ],
+      "alcohol": [
+        9.4,
+        9.8,
+        10.2
+      ],
+      "wide_type": [
+        0,
+        0,
+        1
+      ],
+      "quality": [
+        5,
+        5,
+        6
+      ]
+    },
+    "model": {
+      "file": "model.pkl"
+    },
+    "task": "tabular-regression"
+  }
+}

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2029d4ac85f04713f46196544a6c8bc49b781d7b68c0cf442904d89a9b39af2e
+size 9380

test_data.csv

@@ -0,0 +1,1065 @@
+fixed acidity,volatile acidity,citric acid,residual sugar,chlorides,free sulfur dioxide,total sulfur dioxide,density,pH,sulphates,alcohol,wide_type,quality
+7.8,0.23,0.28,4.75,0.042,45.0,166.0,0.9928,2.96,0.4,11.5,1,5
+9.8,0.98,0.32,2.3,0.078,35.0,152.0,0.998,3.25,0.48,9.4,0,5
+6.8,0.21,0.37,7.0,0.038,27.0,107.0,0.99206,2.98,0.82,11.5,1,6
+11.9,0.43,0.66,3.1,0.109,10.0,23.0,1.0,3.15,0.85,10.4,0,7
+6.5,0.36,0.31,13.55,0.053,20.0,113.0,0.99544,3.2,0.56,11.0,1,6
+6.3,0.17,0.42,2.8,0.028,45.0,107.0,0.9908,3.27,0.43,11.8,1,6
+7.5,0.5,0.36,6.1,0.071,17.0,102.0,0.9978,3.35,0.8,10.5,0,5
+6.8,0.23,0.4,1.6,0.047,5.0,133.0,0.993,3.23,0.7,11.4,1,6
+7.7,0.25,0.49,2.5,0.047,31.0,169.0,0.99252,3.07,0.57,10.6,1,6
+6.1,0.24,0.27,11.5,0.05,51.0,133.0,0.99476,3.22,0.37,10.8,1,6
+7.6,0.27,0.32,1.2,0.043,23.0,72.0,0.99236,3.06,0.68,10.5,1,5
+6.7,0.35,0.32,9.0,0.032,29.0,113.0,0.99188,3.13,0.65,12.9,1,7
+7.4,0.32,0.55,16.6,0.056,53.0,238.0,1.0017,2.96,0.58,8.7,1,6
+11.5,0.45,0.5,3.0,0.078,19.0,47.0,1.0003,3.26,1.11,11.0,0,6
+6.0,0.34,0.32,3.8,0.044,13.0,116.0,0.99108,3.39,0.44,11.8,1,7
+7.7,0.32,0.48,2.3,0.04,28.0,114.0,0.9911,3.2,0.52,12.8,1,7
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