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Dryer Vent cleaning $174
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Up to 1000 sq feet property/ one side vertical exterior power washing $170
Up to 1500 sq feet property/one side vertical exterior power washing $250
Up to 2500 sq feet property/one side vertical exterior power washing $290
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for Residential or Commercial Areas 250 Square Feet
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for Residential or Commercial Areas 500 Square Feet
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![]() | REQUEST TO REMOVE标注数据存在错误怎么办?MIT&Google提出用置信学习找出错误 … https://zhuanlan.zhihu.com/p/146557232 笔者注:上面虽然只给出了CV领域的例子,但置信学习也适用于NLP啊~此外,cleanlab可以封装任意一个你自定义的模型,以下机器学习框架都适用:scikit-learn, PyTorch, TensorFlow, FastText。 3、置信学习的3个步骤. 置信学习开源工具cleanlab操作起来比较容易,但置信学习背后也是有着充分的理论支持的。 |
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![]() | REQUEST TO REMOVE置信学习-标注数据存在错误 - 知乎 https://zhuanlan.zhihu.com/p/394985481 from cleanlab.classification import LearningWithNoisyLabels from sklearn.linear_model import LogisticRegression # 其实可以封装任意一个你自定义的模型. lnl = LearningWithNoisyLabels(clf=LogisticRegression()) lnl.fit(X=X_train_data, s=train_noisy_labels) # 对真实世界进行验证. predicted_test_labels = lnl.predict(X_test ... |
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![]() | REQUEST TO REMOVEcleanlab 2.0: Automatically Find Errors in ML Datasets https://cleanlab.ai/blog/cleanlab-2/ Apr 21, 2022 · Curtis Northcutt; Jonas Mueller; Anish Athalye; cleanlab 2.0 is an open-source framework for machine learning and analytics with messy, real-world data. Based on research from MIT, cleanlab identifies errors in datasets, measures dataset quality, trains reliable models with noisy data, and helps curate quality datasets… each with just a few lines of code. |
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![]() | REQUEST TO REMOVECleanlab https://cleanlab.ai/ Cleanlab is inventing the future of data-centric AI. We publish research, develop open source tools, and design interfaces to help you improve the quality of your datasets and diagnose various issues in them. Star 4,160. Learn. Blog; Documentation (Open-source) Examples (Open-source) |