Row 59940

Row ID: 59940 | Dataset Entry | Axioma AXP Content Repository

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Hey! Is the data public, or could you make it public? Could you say more about the intervals/structure of the different timeseries inputs? What do you mean they are not IID, isn't that a requirement for even treating it as a prediction problem?

I'm interested in this multivariate timeseries/sequence prediction problem generally, and have developed a framework to quickly configure and train transformer models for these types of problems. If you give me sample data, I could set it up for your problem so you (and I) can compare the results (I am interested in benchmarking/learning about when & where it is useful): [https://github.com/0xideas/sequifier](https://github.com/0xideas/sequifier)

Let me know if you want to work on this together :)

FieldValue
text Hey! Is the data public, or could you make it public? Could you say more about the intervals/structure of the different timeseries inputs? What do you mean they are not IID, isn't that a requirement for even treating it as a prediction problem? I'm interested in this multivariate timeseries/sequence prediction problem generally, and have developed a framework to quickly configure and train transformer models for these types of problems. If you give me sample data, I could set it up for your pro…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-23
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{
  "text": "Hey! Is the data public, or could you make it public? Could you say more about the intervals/structure of the different timeseries inputs? What do you mean they are not IID, isn't that a requirement for even treating it as a prediction problem?\n\nI'm interested in this multivariate timeseries/sequence prediction problem generally, and have developed a framework to quickly configure and train transformer models for these types of problems. If you give me sample data, I could set it up for your problem so you (and I) can compare the results (I am interested in benchmarking/learning about when & where it is useful): [https://github.com/0xideas/sequifier](https://github.com/0xideas/sequifier)\n\nLet me know if you want to work on this together :)",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-23",
  "username_encoded": "Z0FBQUFBQm5Lak1ZU0RYQ3pSYjV6SkdjSUYyRWNEc2dURFFYN2tWWjNqempDYW04cW5BMzU2UjE4SnFLRkFyWUZjdmRseVpybWpkNUJ4cTgxZUNfdkt0WXFqMFdjRVQ0UkE9PQ==",
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}
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