以accuracy指标为例,我们可以这样进行加载。 importevaluateaccuracy_metric=evaluate.load("accuracy") 计算时,只需要调用compute函数即可,代码如下,其中,references为真实标签,predictions为预测的标签。 accuracy_metric.compute(references=[0,1,2,0,1,2],predictions=[0,1,1,2,1,0]) 同样的,我们也可以使用list...
所有evaluate方法都是用load importevaluateaccuracy=evaluate.load("accuracy")# 亦可指定type: metric、comparison、measurementword_length=evaluate.load("word_length",module_type="measurement") load其他人的方法 element_count=evaluate.load("lvwerra/element_count",module_type="measurement") 查看可用的模块方法...
evaluate中的每个指标都是一个单独的Python模块,通过 evaluate.load()(点击查看文档) 函数快速加载,其中load函数的常用参数如下: path:必选,str类型。可以是指标名(如 accuracy 或社区的铁汁们贡献 的muyaostudio/myeval),如果源码安装还可以是路径名(如./metrics/rouge 或./metrics/rogue/rouge.py)。我用的后者...
accuracy (`float` or `int`): Accuracy score. Minimum possible value is 0. Maximum possible value is 1.0, or the number of examples input, if `normalize` is set to `True`.. A higher score means higher accuracy. Examples: Example 1-A simple example >>> accuracy_metric = evaluate.load(...
from evaluate import load # 加载评估指标 accuracy = load("accuracy") # 模拟模型预测和真实标签 predictions = [0, 1, 0, 1] labels = [0, 1, 1, 0] # 计算准确率 results = accuracy.compute(predictions=predictions, references=labels)
其次在训练好模型后,我通过 load_model 加载最优模型,记为 bestModel(因为在训练过程中调用 callbacks.ModelCheckpoint 中的 save_best_only=True、monitor=‘val_accuracy’,所以加载的就是训练过程中验证集acc最优的模型)。 问题出在测试阶段。我用训练过程中用于验证模型的数据 eval_data 来测试模型,也即 result...
implementations of dozens of popular metrics: the existing metrics cover a variety of tasks spanning from NLP to Computer Vision, and include dataset-specific metrics for datasets. With a simple command likeaccuracy = load("accuracy"), get any of these metrics ready to use for evaluating a ML...
To suggest cost-effective designs of steel beams with circular opening under Vierendeel failure, computational results of the available methods such as SCI P100, SCI P355, Chung et al.'s formula and Panedpojaman and Rongram (PPM)'s formula for evaluating the load carrying capacity based on ...
util.storeObject("one.pkl", correctIndices)returnstr(util.evaluateAccuracy(predictions, originalLabels)) 开发者ID:StevenLOL,项目名称:Domain-Adaptations,代码行数:23,Base.py 示例3: loadmat ▲点赞 4▼ # 需要导入模块: import Utility [as 别名]# 或者: from Utility importevaluateAccuracy[as 别名]tra...
aeach subject was weighed nude to evaluate the body mass loss to an accuracy of 1g (digital counting system, Teraoka Seikou,Japan)before and after exercise. 每个主题是评估身体大量损失的斟酌的裸体到1g数字式计数的系统 (, Teraoka Seikou,日本的准确性)在锻炼前后。[translate]...