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...
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 #*===...
importosimportshutilimporttransformersimportdatasetsifos.path.exists("./output"):shutil.rmtree("./output")defmy_generator():foriinrange(10):yield{"input_ids": [1000],"labels": [1000]}# This dataset yields 10 examples only, but let's set max_steps=20.dataset=datasets.IterableDataset.from_g...
For small datasets, this shouldn’t impact the performance drastically. However, when working with large data, this listing operation can impact the performance negatively when reading the files. For example, with HDFS as the underlying data store, the list operation for a l...
Helps to automate the download process of getting the dataset. Some manual intervention is required, which is explained in this notebook. It also has the code to combine two downloaded datasets to form the dataset that is used to train the model. ...
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 ...
datasets 2.10.1 pypi_0 pypi debugpy 1.6.7 pypi_0 pypi decorator 5.1.1 pypi_0 pypi deepspeed 0.9.5 pypi_0 pypi defusedxml 0.7.1 pypi_0 pypi dill 0.3.6 pypi_0 pypi docker-pycreds 0.4.0 pypi_0 pypi et-xmlfile 1.1.0 pypi_0 pypi ...
The jm1 project had 4574 instances, which made this dataset larger compared to the other datasets except the cross-project (cp) dataset used in this study. The CP project had a precision value ranging from 21% to 34% depending on the algorithm applied. The precision score among all the ...
Loader.io @loaderio Free to 100.00$/mo Loader.io is a Free load testing service that allows you to stress test your web-apps/apis with thousands of concurrent connections. Locust.io @locustio Open Source Self-hosted load testing tool written in Python, with the tests themselves written in ...