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资源简介:
AutoML for offline use
面向离线使用的自动机器学习(AutoML)
应用场景:
创建时间:
2022-09-24
相关数据集
justpyschitry/autotrain-data-Wikipeida_Article_Classifier_by_Chap
该数据集是为项目Wikipeida_Article_Classifier_by_Chap自动处理的,用于文本分类任务。数据集的语言为英语,包含文本和对应的目标类别,目标类别共有20个,涵盖了多种疾病和健康相关条件。数据集分为训练集和验证集,分别包含9828和2468个样本。
Hugging Face2022-10-25 更新290
autoevaluate/autoeval-eval-kmfoda__booksum-kmfoda__booksum-e19ec2-2251271758
--- type: predictions tags: - autotrain - evaluation datasets: - kmfoda/booksum eval_info: task: summarization model: pszemraj/long-t5-tglobal-large-booksum-WIP metrics: ['bertscore'] dataset_
Hugging Face2022-11-27 更新130
section5.zip
Raw data for the experiments in Section 5 conducted for the paper https://papers.nips.cc/paper/5872-efficient-and-robust-automated-machine-learning
DataCite Commons2020-09-03 更新90
yzhuang/autotree_automl_10000_california_sgosdt_l256_dim8_d3_sd0
--- dataset_info: features: - name: id dtype: int64 - name: input_x sequence: sequence: float32 - name: input_y sequence: sequence: float32 - name: input_y_clean
Hugging Face2023-09-07 更新120



