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O Programming Historian em Português recebeu a proposta de tradução da lição [Clustering with Scikit-Learn in Python](https://programminghistorian.org/en/lessons/clustering-with-scikit-learn-in-python…
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## 第一章 绪论
机器学习正是这样一门学科,它致力于研究如何通过计算的手段,利用经验来改善系统自身的性能。如果说计算机科学是研究关于`算法`的学问,那么可以说机器学习是研究关于`学习算法`的学问
若预测的是离散值,例如好瓜、坏瓜,此类学习任务称为`分类`;若预测的是连续值,例如西瓜的成熟度0.95、0.37,此类学习任务称为`回归`。一般地,预测任务是希望通过对训练集![equati…
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I have a question. Does Fate support popular clustering algorithm such as K-Means or DBSCAN ?
Or do those clustering algorithms have a federated learning version?
shuzi updated
3 months ago
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```
The dboverview code needs to be re-written to account for different types of
sets:
1. tv box sets determined by item name, type (tv) , and season (inc all seasons)
2. movie box sets based on list…
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lIms0 updated
9 months ago
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### Describe the issue linked to the documentation
I find the description of the `min_samples` argument in sklearn.cluster.HDBSCAN confusing.
It says "The number of samples in a neighborhood for a…
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CTB currently writes individual terrain tiles directly to disk. As zoom levels increase, this leads to millions of individual terrain tile files in thousands of folders, which are hard to copy and mo…
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Congratulations on your new result. The paper inside combined with unsupervised ReID also achieved very satisfactory results, and I see that experiments are also conducted inside combined with Cluster…
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Basically I have the code:
```
int n = 70000;
int d = 784;
int D = 1024;
auto X = matx::random({n, d}, matx::UNIFORM);
auto Y = matx::random({d, D}, matx::UNIFORM);
auto Z = matx::matmul(X,…
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Not sure if I'm encountering a bug, but I've been running against some performance bottlenecks that don't jive with the benchmarks you present in the docs.
I'm trying to run hdbscan on a ~500k x 10…