Commit From AutoTrain

.gitattributes

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README.md

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+---
+tags:
+- autotrain
+- tabular
+- regression
+- tabular-regression
+datasets:
+- arviszeile/autotrain-data-golf-winner-2
+co2_eq_emissions:
+  emissions: 0.02273858856897143
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Single Column Regression
+- Model ID: 87274143423
+- CO2 Emissions (in grams): 0.0227
+
+## Validation Metrics
+
+- Loss: 0.000
+- R2: 1.000
+- MSE: 0.000
+- MAE: 0.000
+- RMSLE: 0.000
+
+## 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": ["player_id", "position_actual", "round_id", "hole_1", "hole_2", "hole_3", "hole_4", "hole_5", "hole_6", "hole_7", "hole_8", "hole_9", "hole_10", "hole_11", "hole_12", "hole_13", "hole_14", "hole_15", "hole_16", "hole_17", "hole_18", "event_date"], "targets": ["target"], "model_type": "xgboost", "target_mapping": {}}

model.joblib

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+size 103063