Commit From AutoTrain

.gitattributes

@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+*.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,51 @@
+---
+tags:
+- autotrain
+- tabular
+- classification
+- tabular-classification
+datasets:
+- fyhao/autotrain-data-sentiment-analysis
+co2_eq_emissions:
+  emissions: 0.0803280731181239
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 2435575634
+- CO2 Emissions (in grams): 0.0803
+
+## Validation Metrics
+
+- Loss: 0.186
+- Accuracy: 0.873
+- Macro F1: 0.870
+- Micro F1: 0.873
+- Weighted F1: 0.868
+- Macro Precision: 0.938
+- Micro Precision: 0.873
+- Weighted Precision: 0.896
+- Macro Recall: 0.833
+- Micro Recall: 0.873
+- Weighted Recall: 0.873
+
+## 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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:67799b4c17654bc5dbfa1242dfb973f279554248331d0efc1a93776335292f0d
+size 146

model.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ea8d037457c0eb7c8b5610456eafe7ee1844e5dbb2d7b9eb857f9c06274bf97d
+size 63846