Commit From AutoTrain

.gitattributes

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README.md

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+---
+tags:
+- autotrain
+- tabular
+- regression
+- tabular-regression
+datasets:
+- wangdy/autotrain-data-godaddy2
+co2_eq_emissions:
+  emissions: 0.0013755411915266891
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Single Column Regression
+- Model ID: 38507101578
+- CO2 Emissions (in grams): 0.0014
+
+## Validation Metrics
+
+- Loss: 0.206
+- R2: 0.997
+- MSE: 0.042
+- MAE: 0.081
+- RMSLE: 0.052
+
+## 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": ["active", "pct_bb-2", "pct_bb-1", "pct_bb", "pct_college-2", "pct_college-1", "pct_college", "pct_foreign_born-2", "pct_foreign_bor-1", "pct_foreign_born", "pct_it_workers-2", "pct_it_workers-1", "pct_it_workers", "median_hh_inc-2", "median_hh_inc-1", "median_hh_inc", "first_day_of_month"], "targets": ["target"], "model_type": "knn", "target_mapping": {}}

model.joblib

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