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I would like to apply the crps in xr. EDIT: see second post
Test data:
```python
import xarray as xr
from properscoring import crps_ensemble
dates = pd.date_range('1/1/2000', '1/3/2000', freq…
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I found the procedure to compute optical flow is slow. And tried another way(neural network) to compute it.
Which one looks better and reasonable? LK method or the new method? The results are:
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maybe we can combine the two approaches:
- perfect-model has no reference, therefore we compare model with itself
- input: ds, [control (only needed to bootstrap uninitialized), should be refactor…
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As the IMPROVER product owner I would like IMPROVER to have the capability to compute the expected wind direction from multiple forecasts (rather than just from the control).
The purpose of this ti…
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> AI - 人工智能;AR - 增强现实;CV - 机器视觉;DL - 深度学习;DM - 数据挖掘;DS - 数据科学;DV - 数据可视化;IOT - 物联网;ML - 机器学习;NLP - 自然语言处理
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Out of curiosity, how did properscoring compare to scoringtools?
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As an IMPROVER scientist, I want to be able to store spot forecast outputs in a Station-Based Verification system (SBV) database, so that I can measure their performance using standard scores.
Rela…
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I want to use **`prophet`** to build probabilistic forecasts of transaction counts for a large set of metropolitan areas in the United States. Then I want to create an index based on the probabilistic…
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Many different ways to quantify the usefulness of an SDM.
- [Rapacciuolo et al. 2012](http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0040212) compared compared only plots that change…
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Currently the point forecasts are generated from the expected value based on the probabilities assigned. Do we want to give teams another option to simply pick the individual bin with the highest prob…