load_metric 函数是 datasets 库中用于加载评估指标的功能。根据最新的 datasets 库文档和社区反馈,load_metric 函数在多个版本中都是存在的。然而,如果因为某些原因(如版本更新后该函数被重命名或移除),它可能不再可用。 您可以通过查阅 datasets 库的官方文档 来确认该函数是否仍然可用。 3. 检查代码中是否有拼写...
数据集:乳腺癌数据集(from sklearn.datasets import load_breast_cancer)。 (1)将样本集划分为70%的训练集,30%作为测试集,分别用逻辑回归算法和KNN算法(需要先对数据进行标准化)建模(不指定参数),输出其测试结果的混淆矩阵,计算其准确率、查全率和假正率。 (2)利用搜索网格,分别确定逻辑回归及KNN模型的最优参数。
model_selection import train_test_split # load and process data wbcd = datasets.load_breast_cancer() feature_names = wbcd.feature_names labels = wbcd.target_names test_size = 0.2 X_train, X_test, y_train, y_test = train_test_split( wbcd.data, wbcd.target, test_size=test_size )...
(3)metric:距离计算方式 例:sklearn.cluster.DBSCAN(eps=0.5, min_samples=5, metric='euclidean') #*===1. 建立工程,导入sklearn相关包===** import numpy as np import sklearn.cluster as skc from sklearn import metrics from sklearn.cluster import DBSCAN import matplotlib.pyplot as plt #*===...
File partitioning for large datasets If you have a Microsoft Customer Agreement, Microsoft Partner Agreement, or Enterprise Agreement, you can enable Exports to chunk your file into multiple smaller file partitions to help with data ingestion. When you initially configure your export, set the File ...
fiftyone FiftyOne: the open-source tool for building high-quality datasets and computer vision models 12 test-tube Experiment logger and visualizer 12 httpimport Module for remote in-memory Python package/module loading through HTTP 12 pastedeploy Load, configure, and compose WSGI applications and ser...
在下文中一共展示了DataLoader.load_datasets_from_h5py方法的2個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。 示例1: main ▲點讚 6▼ # 需要導入模塊: import DataLoader [as 別名]# 或者: from DataLoader importload_...
per_device_eval_batch_size=batch_size, warmup_ratio=0.1, logging_steps=10, max_steps=steps_per_epoch * num_epochs, # Duplication of `num_train_epochs` because it throws otherwise. load_best_model_at_end=True, metric_for_best_model="accuracy", hub_strategy="checkpoint", push_to_hub=Tr...
We use fairseq as the main trainer (no models/datasets dependency on fairseq). Simply usingpip install fairseqor git clone https://github.com/pytorch/fairseq cd fairseq pip install -e . # also optionally follow fairseq README for apex installation for fp16 training. export MKL_THREADING_LAYER...
cloud. TheRegistry of Open Data on AWShosts a large amount of public open data. The datasets range from genomics to climate to transportation information. They are well structured and easily accessible. Additionally, you can use these datasets in machine learning (ML) model development i...