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lab_classification_neural/cli/persistence.py
Chris Proctor 255c189d2f Updates
2026-06-22 16:08:23 -04:00

29 lines
673 B
Python

import os
import joblib
MODEL_FILE = "model.joblib"
WEIGHTS_DIR = "weights"
def _resolve(name):
if name.startswith(WEIGHTS_DIR + os.sep) or name.startswith(WEIGHTS_DIR + "/"):
return name
return os.path.join(WEIGHTS_DIR, name)
def is_saved_model(path):
directory = _resolve(path)
return os.path.isdir(directory) and os.path.exists(os.path.join(directory, MODEL_FILE))
def save_model(clf, name):
directory = _resolve(name)
os.makedirs(directory, exist_ok=True)
joblib.dump(clf, os.path.join(directory, MODEL_FILE))
def load_model(path):
directory = _resolve(path)
return joblib.load(os.path.join(directory, MODEL_FILE))