Commit From AutoTrain

.gitattributes

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README.md

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+---
+tags:
+- autotrain
+- tabular
+- classification
+- tabular-classification
+datasets:
+- ketong3906/autotrain-data-iris_truncated
+co2_eq_emissions:
+  emissions: 0.9776538031455683
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 64451135750
+- CO2 Emissions (in grams): 0.9777
+
+## Validation Metrics
+
+- Loss: 0.091
+- Accuracy: 1.000
+- Macro F1: 1.000
+- Micro F1: 1.000
+- Weighted F1: 1.000
+- Macro Precision: 1.000
+- Micro Precision: 1.000
+- Weighted Precision: 1.000
+- Macro Recall: 1.000
+- Micro Recall: 1.000
+- Weighted Recall: 1.000
+
+## Usage
+
+```python
+import json
+import joblib
+import pandas as pd
+
+model = joblib.load('model.joblib')
+config = json.load(open('config.json'))
+
+features = config['features']
+
+# data = pd.read_csv("data.csv")
+data = data[features]
+data.columns = ["feat_" + str(col) for col in data.columns]
+
+predictions = model.predict(data)  # or model.predict_proba(data)
+
+```

config.json

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+{"features": ["sepal_length", "sepal_width", "petal_length", "petal_width"], "targets": ["target"], "model_type": "xgboost", "target_mapping": {"setosa": 0, "versicolor": 1, "virginica": 2}}

model.joblib

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