Tabular Classification
Scikit-learn
English
iris
classification
supervised-learning
lda
scikit-learn
Instructions to use rajuamburu/iris-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use rajuamburu/iris-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("rajuamburu/iris-classifier", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>Iris Flower Classifier</title> | |
| <style> | |
| * { margin: 0; padding: 0; box-sizing: border-box; } | |
| body { | |
| font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; | |
| background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); | |
| min-height: 100vh; | |
| display: flex; | |
| justify-content: center; | |
| align-items: center; | |
| padding: 20px; | |
| } | |
| .container { | |
| background: white; | |
| border-radius: 20px; | |
| box-shadow: 0 20px 60px rgba(0,0,0,0.3); | |
| padding: 40px; | |
| max-width: 500px; | |
| width: 100%; | |
| } | |
| h1 { | |
| text-align: center; | |
| color: #333; | |
| margin-bottom: 5px; | |
| font-size: 28px; | |
| } | |
| .subtitle { | |
| text-align: center; | |
| color: #888; | |
| font-size: 14px; | |
| margin-bottom: 30px; | |
| } | |
| .form-group { | |
| margin-bottom: 20px; | |
| } | |
| label { | |
| display: block; | |
| color: #555; | |
| font-weight: 600; | |
| margin-bottom: 6px; | |
| font-size: 14px; | |
| } | |
| .input-row { | |
| display: flex; | |
| align-items: center; | |
| gap: 12px; | |
| } | |
| input[type="range"] { | |
| flex: 1; | |
| -webkit-appearance: none; | |
| height: 6px; | |
| border-radius: 3px; | |
| background: #ddd; | |
| outline: none; | |
| } | |
| input[type="range"]::-webkit-slider-thumb { | |
| -webkit-appearance: none; | |
| width: 20px; | |
| height: 20px; | |
| border-radius: 50%; | |
| background: #764ba2; | |
| cursor: pointer; | |
| box-shadow: 0 2px 6px rgba(118, 75, 162, 0.4); | |
| } | |
| .value-display { | |
| min-width: 50px; | |
| text-align: center; | |
| font-weight: 700; | |
| color: #764ba2; | |
| font-size: 16px; | |
| } | |
| .unit { | |
| color: #aaa; | |
| font-size: 12px; | |
| min-width: 20px; | |
| } | |
| button { | |
| width: 100%; | |
| padding: 14px; | |
| background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); | |
| color: white; | |
| border: none; | |
| border-radius: 12px; | |
| font-size: 16px; | |
| font-weight: 600; | |
| cursor: pointer; | |
| transition: transform 0.2s, box-shadow 0.2s; | |
| margin-top: 10px; | |
| } | |
| button:hover { | |
| transform: translateY(-2px); | |
| box-shadow: 0 8px 25px rgba(118, 75, 162, 0.4); | |
| } | |
| button:active { transform: translateY(0); } | |
| .result { | |
| margin-top: 25px; | |
| padding: 25px; | |
| border-radius: 16px; | |
| text-align: center; | |
| display: none; | |
| animation: fadeIn 0.4s ease; | |
| } | |
| @keyframes fadeIn { | |
| from { opacity: 0; transform: translateY(10px); } | |
| to { opacity: 1; transform: translateY(0); } | |
| } | |
| .result .emoji { font-size: 48px; margin-bottom: 10px; } | |
| .result .species-name { | |
| font-size: 24px; | |
| font-weight: 700; | |
| margin-bottom: 5px; | |
| } | |
| .result .confidence { | |
| font-size: 14px; | |
| opacity: 0.8; | |
| margin-bottom: 15px; | |
| } | |
| .result .description { | |
| font-size: 13px; | |
| opacity: 0.7; | |
| line-height: 1.5; | |
| } | |
| .prob-bars { | |
| margin-top: 15px; | |
| text-align: left; | |
| } | |
| .prob-bar { | |
| margin-bottom: 8px; | |
| } | |
| .prob-bar .bar-label { | |
| font-size: 12px; | |
| color: #555; | |
| margin-bottom: 3px; | |
| display: flex; | |
| justify-content: space-between; | |
| } | |
| .prob-bar .bar-track { | |
| height: 8px; | |
| background: #eee; | |
| border-radius: 4px; | |
| overflow: hidden; | |
| } | |
| .prob-bar .bar-fill { | |
| height: 100%; | |
| border-radius: 4px; | |
| transition: width 0.6s ease; | |
| } | |
| .model-info { | |
| text-align: center; | |
| margin-top: 20px; | |
| font-size: 11px; | |
| color: #bbb; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <div class="container"> | |
| <h1>Iris Flower Classifier</h1> | |
| <p class="subtitle">Enter flower measurements to predict the species</p> | |
| <div class="form-group"> | |
| <label>Sepal Length</label> | |
| <div class="input-row"> | |
| <input type="range" id="sepal_length" min="4.0" max="8.0" step="0.1" value="5.8"> | |
| <span class="value-display" id="sepal_length_val">5.8</span> | |
| <span class="unit">cm</span> | |
| </div> | |
| </div> | |
| <div class="form-group"> | |
| <label>Sepal Width</label> | |
| <div class="input-row"> | |
| <input type="range" id="sepal_width" min="2.0" max="4.5" step="0.1" value="3.0"> | |
| <span class="value-display" id="sepal_width_val">3.0</span> | |
| <span class="unit">cm</span> | |
| </div> | |
| </div> | |
| <div class="form-group"> | |
| <label>Petal Length</label> | |
| <div class="input-row"> | |
| <input type="range" id="petal_length" min="1.0" max="7.0" step="0.1" value="4.0"> | |
| <span class="value-display" id="petal_length_val">4.0</span> | |
| <span class="unit">cm</span> | |
| </div> | |
| </div> | |
| <div class="form-group"> | |
| <label>Petal Width</label> | |
| <div class="input-row"> | |
| <input type="range" id="petal_width" min="0.1" max="2.5" step="0.1" value="1.2"> | |
| <span class="value-display" id="petal_width_val">1.2</span> | |
| <span class="unit">cm</span> | |
| </div> | |
| </div> | |
| <button onclick="predict()">Classify Flower</button> | |
| <div class="result" id="result"></div> | |
| <div class="model-info"> | |
| Model: {{ model_name }} | Accuracy: {{ "%.1f"|format(accuracy * 100) }}% | |
| </div> | |
| </div> | |
| <script> | |
| // Update slider display values | |
| document.querySelectorAll('input[type="range"]').forEach(slider => { | |
| const display = document.getElementById(slider.id + '_val'); | |
| slider.addEventListener('input', () => { | |
| display.textContent = parseFloat(slider.value).toFixed(1); | |
| }); | |
| }); | |
| async function predict() { | |
| const data = { | |
| sepal_length: document.getElementById('sepal_length').value, | |
| sepal_width: document.getElementById('sepal_width').value, | |
| petal_length: document.getElementById('petal_length').value, | |
| petal_width: document.getElementById('petal_width').value, | |
| }; | |
| try { | |
| const response = await fetch('/predict', { | |
| method: 'POST', | |
| headers: { 'Content-Type': 'application/json' }, | |
| body: JSON.stringify(data), | |
| }); | |
| const result = await response.json(); | |
| if (result.error) { | |
| alert('Error: ' + result.error); | |
| return; | |
| } | |
| const resultDiv = document.getElementById('result'); | |
| resultDiv.style.display = 'block'; | |
| resultDiv.style.background = result.color + '15'; | |
| resultDiv.style.border = '2px solid ' + result.color + '40'; | |
| let probBars = ''; | |
| if (result.probabilities) { | |
| probBars = '<div class="prob-bars">'; | |
| for (const [species, prob] of Object.entries(result.probabilities)) { | |
| probBars += ` | |
| <div class="prob-bar"> | |
| <div class="bar-label"> | |
| <span>${species}</span> | |
| <span>${prob}%</span> | |
| </div> | |
| <div class="bar-track"> | |
| <div class="bar-fill" style="width: ${prob}%; background: ${result.color};"></div> | |
| </div> | |
| </div>`; | |
| } | |
| probBars += '</div>'; | |
| } | |
| resultDiv.innerHTML = ` | |
| <div class="emoji">${result.emoji}</div> | |
| <div class="species-name" style="color: ${result.color}">${result.species}</div> | |
| <div class="confidence">Confidence: ${result.confidence}%</div> | |
| <div class="description">${result.description}</div> | |
| ${probBars} | |
| `; | |
| } catch (err) { | |
| alert('Error connecting to server'); | |
| } | |
| } | |
| </script> | |
| </body> | |
| </html> | |