import os import joblib import numpy as np from learnware.model import BaseModel class SVM(BaseModel): def __init__(self): dir_path = os.path.dirname(os.path.abspath(__file__)) self.model = joblib.load(os.path.join(dir_path, "svm.pkl")) def fit(self, X: np.ndarray, y: np.ndarray): pass def predict(self, X: np.ndarray) -> np.ndarray: return self.model.predict(X) def finetune(self, X: np.ndarray, y: np.ndarray): pass
基于学件范式,全流程地支持学件上传、检测、组织、查搜、部署和复用等功能。同时,该仓库作为北冥坞系统的引擎,支撑北冥坞系统的核心功能。