AR
数据与复现
arxiv-database
arxiv-database：This skill provides Python tools ，用于 searching 、 retrieving preprints ，面向 arXiv.org ，通过 its public Atom A…
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数据与复现
AE
aeon
维护者 K-Dense Inc. · 最近更新 2026年4月1日
aeon：Aeon是一个兼容 scikit-learn Python 工具包 ，用于 时序机器学习。 It provides state-of- -art algorithms ，用于 分类，回归，聚类，预测，异常检测，分割，、 相似性检索。
原始来源
K-Dense-AI/claude-scientific-skills
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/aeon
- 维护者
- K-Dense Inc.
- 许可
- BSD-3-Clause license
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- Aeon是一个兼容 scikit-learn Python 工具包 ，用于 时序机器学习. It provides state-of- -art algorithms ，用于 分类，回归，聚类，预测，异常检测，分割，、 相似性检索。
- X_train，y_train = load_分类("GunPoint"，split="train") X_test，y_test = load_分类("GunPoint"，split="test")。
原始文档
SKILL.md 摘录
When to Use This Skill
Apply this skill when:
- Classifying or predicting from time series data
- Detecting anomalies or change points in temporal sequences
- Clustering similar time series patterns
- Forecasting future values
- Finding repeated patterns (motifs) or unusual subsequences (discords)
- Comparing time series with specialized distance metrics
- Extracting features from temporal data
1. Time Series Classification
Categorize time series into predefined classes. See references/classification.md for complete algorithm catalog.
Quick Start:
from aeon.classification.convolution_based import RocketClassifier
from aeon.datasets import load_classification
## Train classifier
clf = RocketClassifier(n_kernels=10000)
clf.fit(X_train, y_train)
accuracy = clf.score(X_test, y_test)
Algorithm Selection:
- Speed + Performance:
MiniRocketClassifier,Arsenal - Maximum Accuracy:
HIVECOTEV2,InceptionTimeClassifier - Interpretability:
ShapeletTransformClassifier,Catch22Classifier - Small Datasets:
KNeighborsTimeSeriesClassifierwith DTW distance
适用场景
- Classifying 或 predicting ，面向 time series data。
- Detecting anomalies 或 change points in temporal sequences。
- 聚类 similar time series patterns。
- 预测 future values。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
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