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One problem is a large concentration of samples in a certain projection range. Graphs may look good for non-concentrated samples, but lack structure for the large concentrations. Also it can slow down…
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You mention tabular, hierarchical and network data structures; the other two that are common (and arguably more common that either hierarchical or network data) are geospatial and statistical (hypercu…
JeniT updated
8 years ago
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pangeo_forge_recipes/rechunking.py
raise ValueError("Cannot combine fragments because they do not form a regular hypercube.")
ValueError: Cannot combine fragments because they do not form a re…
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I used one of your pluckers to create an example for nested data. I thought I would share.
http://embed.plnkr.co/s5dCMB/preview
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In some cases an assembly strategy might be needed where first a basis is assembled (and orthogonalized) on a few selected points and only after that assembled using a greedy strategy.
One use case…
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A `lower_limits_lists` is passed into a `GridSearchResult`
```
class GridSearchResult:
def __init__(
self,
samples: List[SamplesInterface],
lower_limits_lists: Unio…
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Previously, in tcl, I was adding parameters in the following way.
```
randomVariable $rndmVar1 lognormal -mean -3.503 -stdv 0.5254
randomVariable $rndmVar2 lognormal -mean $fy -stdv 3.225
pa…
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I'm writing code that reads from a very large measurement set, reading sections at a time to bound memory usage. However, reading from the FLAG table causes memory usage to keep growing. Here is a min…
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Hello,
it will be nice to convert R datasets to DataPackages so that they will be available both for R and Python
(and also any language where a DataPackage client is available) in a structured way.
…
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Tree-preserving embedding (http://www.icml-2011.org/papers/421_icmlpaper.pdf) seems like a good match for the 2D visualization design goal, but scales as O(n^3) and is thus impractical for real datase…