Commit From AutoTrain

.gitattributes

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README.md

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+---
+tags:
+- autotrain
+- tabular
+- classification
+- tabular-classification
+datasets:
+- BrianDsouzaAI/autotrain-data-tab-multi
+co2_eq_emissions:
+  emissions: 2.067391665478424
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-label Classification
+- Model ID: 92337144714
+- CO2 Emissions (in grams): 2.0674
+
+## Validation Metrics
+
+- Loss: 3.634
+
+## Usage
+
+```python
+import json
+import joblib
+
+import numpy as np
+import pandas as pd
+
+models = 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 = []
+for model_ in models:
+    predictions_ = model_.predict(data)  # or model.predict_proba(data)[:, 1]
+    predictions.append(predictions_)
+
+predictions = np.column_stack(predictions)
+
+```

config.json

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+{"features": ["Planned_Stories", "Delivered_Stories"], "targets": ["target_Accurate", "target_Good Prediction", "target_Green", "target_Poor Prediction", "target_Red", "target_Underestimation"], "model_type": "xgboost", "target_mapping": {}}

model.joblib

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