Upload folder using huggingface_hub

README.md

@@ -0,0 +1,56 @@
+
+---
+tags:
+- autotrain
+- tabular
+- regression
+- tabular-regression
+datasets:
+- Ammok/laptop_price_prediction
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Tabular regression
+
+## Validation Metrics
+
+- r2: 0.7067895702353126
+- mse: 10324863219600.982
+- mae: 1934271.3093846152
+- rmse: 3213232.518757549
+- rmsle: 0.2620544321124841
+- loss: 3213232.518757549
+
+## Best Params
+
+- learning_rate: 0.032035042723876625
+- reg_lambda: 2.018311481741709e-06
+- reg_alpha: 0.026605527978495237
+- subsample: 0.7597204784105835
+- colsample_bytree: 0.9197387798773331
+- max_depth: 9
+- early_stopping_rounds: 477
+- n_estimators: 20000
+- eval_metric: rmse
+
+## 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]
+
+predictions = model.predict(data)  # or model.predict_proba(data)
+
+# predictions can be converted to original labels using label_encoders.pkl
+
+```

model.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec613f82c93cf968014de8210433d7c452529b4b14e88c0f72d36fc9b1f9fd83
+size 17339914

target_encoders.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:926248e52d1fa532c317e37da24ed652ae64110f8219cb5e061668bd3091f048
+size 5

training_params.json

@@ -0,0 +1 @@
+{"data_path": "Ammok/laptop_price_prediction", "model": "xgboost", "username": "hngrz", "seed": 42, "train_split": "train", "valid_split": "test", "project_name": "laptop-price-prediction-cl2", "push_to_hub": true, "id_column": "id", "target_columns": ["Price"], "repo_id": "hngrz/laptop-price-prediction-cl2", "categorical_columns": null, "numerical_columns": null, "task": "regression", "num_trials": 10, "time_limit": 600, "categorical_imputer": "most_frequent", "numerical_imputer": "median", "numeric_scaler": "robust"}