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In Hancock et al., a number of annual covariate layers are used, and lagged values of these are used for prediction.
E.g. if we had annual raster covariates, e.g. `rainfall_2000`, `rainfall_2001`, …
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### The problem
I'm in the UK and rainfall is an essential part of day-to-day life. I'm trying to use this integration to monitor weather, but there seems to be no attribute for precipitation. Weirdl…
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:red_circle: **Title** : Weather Forecasting
:red_circle: **Aim** : Predict weather conditions like temperature or rainfall based on historical data
:red_circle: **Brief Explanation** : It involves …
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### Description
i am receiving this error and i dont know how i can go about it
AttributeError: module 'jax.interpreters.ad' has no attribute 'recast_to_float0'
### System info (python version, jax…
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### Open Task RFP for Porting real-world ML model(s) into ZK
Project: [Porting real-world ML model(s) into ZK](https://github.com/privacy-scaling-explorations/acceleration-program/issues/3)
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想问下注意力机制你是怎么加进去呀？另外可以分享一下你编代码的通常流程吗？感激涕零
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Seems like a probable reason for CSO events is a certain amount of rainfall within a given period of time. Would be interesting to correlate these two and use rainfall as a predictor.
@fgregg feel fr…
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A machine learning model to predict the best suitable crop to grow on a particular piece of land based on different factors like humidity, ph, rainfall.
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🔍 **Problem Description**:
Adding a new feature of Crop predictor by taking nitrogen, phosphorus, ph, pottasium, temperature and rainfall inputs.
🧠 **Model Description**:
The model used will …
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Hallo, i stumbled over your [publication](https://link.springer.com/article/10.1007/s41060-019-00193-1) concerning rainfall data allignment with dtw approach.
I am working on a rainfall data imputa…