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aside: pygam has penalized Expectile regression according to the examples/documentation
Currently RLM and QuantileRegression only use a IRLS algorithm
For RLM we can add gradient fit with scipy …
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Thanks for the effort. I was checking the lens/projection functions, I could not find the functions that are used in Singh original paper such as gaussian density or eccentricity. May I ask if these a…
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I am estimating point density, where I am having point coordinates in degrees, I need a raster(over the extent of these points) which provides a density estimation on each cell.
I have tried on R b…
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Would it be possible to implement the plug-in method (rule of thumb), that is used in bandwidth estimation for densities, in the function "npregbw" as well?
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Doing kernel densities using the epanechnikov kernel is very common, but does not seem to be a built-in option. Perhaps because epanechnikov is not included in Distributions.jl.
I think it would be …
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More pictorial representation required to understand which feature is more important in predicting the survival.
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Still no clue (matplotlib frequency diagram)
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We have hard-coded into the code the minimum number of samples that a group must contain to draw a histogram, because histograms look increasingly weird as the number of samples get small (this is tru…
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**Multilabel classification**
http://scikit-learn.org/stable/auto_examples/plot_multilabel.html#sphx-glr-auto-examples-plot-multilabel-py
**A demo of K-Means clustering on the handwritten digits…
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The memory usage currently blows up for large PBMetaD projects when I try reweighting. It looks like my naive implementation of the `reconstruct_bias_potential` method for the `PBMetaDProject` class i…