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Hi all,
I wanted to ask if the weighted quantile sketch algorithm implemented in xgboost can be used independently? Like is it possible just to include quantile.h file and create quantiles on given…
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The implementations of the quantile regression forests in quantregForest and ranger allow for users to specify their own functions (such as sampling one point) over the conditional distribution, via t…
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Instead of thresholding observations with rule `fillrate >= 0.8` to include into quantiles sample, calculate weighted quantiles with weight equal to fillrate. This should smooth out the jumps (see Lys…
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Choices are:
* NumPy docstrings (nice, but too verbose?): https://sphinxcontrib-napoleon.readthedocs.io/en/latest/example_numpy.html#example-numpy
* Google docstrings (my favorite?): https://sphinxc…
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From: Prof Brian Ripley
Did you read the help page?
x: numeric vector whose sample quantiles are wanted. ¡NA¢ and
¡NaN¢ values are not allowed unless ¡na.rm¢ is ¡TRUE¢.
…
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## Environment info
Operating System: pop-os 18.10 (Ubuntu 18.10), kernel 4.18.0-15-generic
CPU/GPU model: Intel(R) Core(TM) i5-8350U CPU @ 1.70GHz
C++/Python/R version: gcc (Ubuntu …
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In #74 I inquired about adding a `quantile` function to Eidos. I bet this would have many uses, but most importantly it is essential for simulating truncation selection in SLiM.
@bhaller rightfully…
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In the traditional supervised machine learning to evaluate prediction accuracy we use actual values of the response variable. In the heterogeneous treatment effect modeling, ground truth is not availa…
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Okay so I've adde the grid cell results to my branch. They are located at `cmip6/output/cmip6-ratio-RS2GPP-fromgridcell.csv`
A quick look at the results it looks like the ratios range over the enti…
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Just found this package through pandas-dev/pandas#10030, really great stuff. I've put functions for working with weighted data in my `microdf` package, but looking to remove them in lieu of this and h…