-
```
public static double SmoothingRule(double[] observations)
{
return (observations.StandardDeviation(true) * Math.Pow(4.0 / (3.0 * observations.Length), -0.2));
}
I'm getting a value of 38.57 w…
-
```
public static double SmoothingRule(double[] observations)
{
return (observations.StandardDeviation(true) * Math.Pow(4.0 / (3.0 * observations.Length), -0.2));
}
I'm getting a value of 38.57 w…
-
```
public static double SmoothingRule(double[] observations)
{
return (observations.StandardDeviation(true) * Math.Pow(4.0 / (3.0 * observations.Length), -0.2));
}
I'm getting a value of 38.57 w…
-
```
public static double SmoothingRule(double[] observations)
{
return (observations.StandardDeviation(true) * Math.Pow(4.0 / (3.0 * observations.Length), -0.2));
}
I'm getting a value of 38.57 w…
-
*Issue migrated from trac ticket # 2279*
**milestone:** HeuristicLab 3.3.11 | **component:** Visualization.ChartControlsExtensions | **priority:** medium | **resolution:** done
#### 2014-12-01 15:40…
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**Reported by nslagle on 20 May 42173362 11:40 UTC**
A subset of the existing kernels suffice for SVMs, kernel PCA, etc. Only a handful, so far, are legitimate density estimation kernels. Should we …
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**Reported by nslagle on 25 Nov 41795508 17:17 UTC**
Per Dr. Alex Gray's direction, we (I) must add kernel conditional density estimation (KCDE) using Dongryeol Lee's existing KDE code.
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**Reported by rcurtin on 21 May 40826039 00:53 UTC**
`mlpack/kde` contains a set of kernel density estimation tools originally written by Dongryeol (dongryel).
The work should be done in the `fastlib…
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Hey,
I hope opening an issue for this is the right way for discussion. If not move this please or tell me where to move ;) With a lot of help of Bart ( and Dominik from MPIK) I could start looking in…
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[Seaborn](http://www.stanford.edu/~mwaskom/software/seaborn/) builds upon Matplotlib and provides several high-quality preset plots.
Integrating Seaborn would improve the data representation and woul…