Initial upload (model + data)

.gitattributes

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+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.csv filter=lfs diff=lfs merge=lfs -text

README.md

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+# Autopilot Email Classifier
+
+A scikit-learn TF-IDF + Logistic Regression model that predicts
+whether an e-mail is **purchase-related**.
+
+## Quick Usage
+
+```bash
+pip install -r requirements.txt           # step 1 – install deps
+```
+
+```python
+from huggingface_hub import hf_hub_download
+import joblib
+
+# step 2 – download & load
+path = hf_hub_download(
+    repo_id = "Settlemate/autopilot-email-classifier",
+    filename = "classifier.pkl",
+    local_dir = "."
+)
+bundle = joblib.load(path)
+pipe, thresh = bundle["pipeline"], bundle["threshold"]
+
+def classify_email(subject, body):
+    proba = pipe.predict_proba([f"{subject} {body}"])[0, 1]
+    return "purchase" if proba >= thresh else "non-purchase"
+
+subj = "Solo founder, $80M exit – Base44 story"
+body = ("Base44’s founder on bootstrapping to profitability, using AI "
+        "to write 90 % of his code, and turning down VC money…")
+print(classify_email(subj, body))
+```

classifier.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a2150241a614e7937cd36d8de50de125e396fb494b1feaa8c9de219641f26c69
+size 79271

requirements.txt

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+scikit-learn>=1.4
+joblib>=1.4
+huggingface_hub>=0.23

train.csv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ba38e1956b75db018bca8d0a2158abf8ca07ea7285d00d1b8dd8d42e6e1ea5b9
+size 355855