Commit From AutoTrain

.gitattributes

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+*.bin.* filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+tags:
+- autotrain
+- tabular
+- classification
+- tabular-classification
+datasets:
+- dozata/autotrain-data-petfinder-demo
+co2_eq_emissions:
+  emissions: 0.49257909869639516
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 87059143318
+- CO2 Emissions (in grams): 0.4926
+
+## Validation Metrics
+
+- Loss: 4.209
+- Accuracy: 0.033
+- Macro F1: 0.003
+- Micro F1: 0.033
+- Weighted F1: 0.010
+- Macro Precision: 0.003
+- Micro Precision: 0.033
+- Weighted Precision: 0.008
+- Macro Recall: 0.011
+- Micro Recall: 0.033
+- Weighted Recall: 0.033
+
+## 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": ["Subject Focus", "Eyes", "Face", "Near", "Action", "Accessory", "Group", "Collage", "Human", "Occlusion", "Info", "Blur"], "targets": ["target"], "model_type": "xgboost", "target_mapping": {"1": 0, "10": 1, "100": 2, "11": 3, "12": 4, "13": 5, "14": 6, "15": 7, "16": 8, "17": 9, "18": 10, "19": 11, "2": 12, "20": 13, "21": 14, "22": 15, "23": 16, "24": 17, "25": 18, "26": 19, "27": 20, "28": 21, "29": 22, "3": 23, "30": 24, "31": 25, "32": 26, "33": 27, "34": 28, "35": 29, "36": 30, "37": 31, "38": 32, "39": 33, "4": 34, "40": 35, "41": 36, "42": 37, "43": 38, "44": 39, "45": 40, "46": 41, "47": 42, "48": 43, "49": 44, "5": 45, "50": 46, "51": 47, "52": 48, "53": 49, "54": 50, "55": 51, "56": 52, "57": 53, "58": 54, "59": 55, "6": 56, "60": 57, "61": 58, "62": 59, "63": 60, "64": 61, "65": 62, "66": 63, "67": 64, "68": 65, "69": 66, "7": 67, "70": 68, "71": 69, "72": 70, "73": 71, "74": 72, "75": 73, "76": 74, "77": 75, "78": 76, "79": 77, "8": 78, "80": 79, "81": 80, "82": 81, "83": 82, "84": 83, "85": 84, "86": 85, "87": 86, "88": 87, "89": 88, "9": 89, "90": 90, "91": 91, "92": 92, "93": 93, "94": 94, "95": 95, "96": 96, "97": 97, "98": 98, "99": 99}}

model.joblib

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+oid sha256:2bcd7fa9dae8228d8ed28f76f6fbda2f01afeaaea4df7acbf184f97bcc7ba6b6
+size 32471189