gpar | Implementation of the Gaussian Process Autoregressive | Analytics library
kandi X-RAY | gpar Summary
kandi X-RAY | gpar Summary
Implementation of the Gaussian Process Autoregressive Regression Model. See the paper, and see the docs.
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Top functions reviewed by kandi - BETA
- Fit the model
- Create a function that returns a generator for the model
- Compute the condition
- Yield y and w
- Creates a new layer with the given model constructor
- Determine the indices of the outputs
- Returns a copy of the GPAR
- Construct GPAR model
- Calculate the log PDF
- Construct an Obs object
- Merge two arrays
- Update inputs
- Returns the last element in xs
- Get the results from the MNIST dataset
- Build the model
- Fits a training model
- Return the mean of the posterior distribution
- Sample from x
- Sample from the posterior
- Sample from the model
gpar Key Features
gpar Examples and Code Snippets
Lines of Code : 81License : Permissive (MIT)
Copyimport matplotlib.pyplot as plt
import numpy as np
from gpar.regression import GPARRegressor
from wbml.experiment import WorkingDirectory
import wbml.plot
if __name__ == "__main__":
wd = WorkingDirectory("_experiments", "synthetic", seed=1)
from gpar import GPARRegressor
gpar = GPARRegressor(
replace=True,
impute=True,
scale=1.0,
linear=True,
linear_scale=100.0,
nonlinear=True,
nonlinear_scale=1.0,
noise=0.1,
normalise_y=True
)
means = gpar.predict( sample = gpar.sample(x, p=2) # Sample two outputs from the prior.
sample = gpar.sample(x, posterior=True) # Sample from the posterior.
Community Discussions
Trending Discussions on gpar
QUESTION
Trying to understand why grid.text("Name") displays in my RStudio plots window but doesn't render on PDF output.
...ANSWER
Answered 2022-Apr-15 at 22:27With reference to this link grid finds font when run in console but not when rendering Rmd using specific pdf function will solve the issue.
QUESTION
I have a simple groovy script that leverages the GPars library's withPool functionality to launch HTTP GET requests to two internal API endpoints in parallel.
The script runs fine locally, both directly as well as a docker container.
When I deploy it as a Kubernetes Job (in our internal EKS cluster: 1.20), it runs there as well, but the moment it hits the first withPool call, I see a giant thread dump, but the execution continues, and completes successfully.
NOTE: Containers in our cluster run with the following pod security context:
...ANSWER
Answered 2022-Mar-28 at 16:25For posterity, answering my own question here.
The issue turned out to be this log4j2 JVM hot-patch that we're currently leveraging to fix the recent log4j2 vulnerability. This agent (running as a DaemonSet) patches all running JVMs in all our k8s clusters.
This, somehow, causes my OpenJDK 17 based app to thread dump. I found the same issue with an ElasticSearch 8.1.0 deployment as well (also uses a pre-packaged OpenJDK 17). This one is a service, so I could see a thread dump happening pretty much every half hour! Interestingly, there are other JVM services (and some SOLR 8 deployments) that don't have this issue 🤷🏽♂️.
Anyway, I worked with our devops team to temporarily exclude the node that deployment was running on, and lo and behold, the thread dumps disappeared!
Balance in the universe has been restored 🧘🏻♂️.
QUESTION
I'm developing a JavaFX application written in Groovy and using Gradle. When I started up my application in IntelliJ recently, it seemingly from out of the blue started failing to compile with the error:
...ANSWER
Answered 2022-Mar-10 at 12:51I have not exactly found the source of the error, but it seems to have something to do with the repositories being declared in a wrong way. To fix this, one can call clear() in the project build.gradle file at the top of the repositories definition, effectively ignoring what's declared in init.gradle. So, just update the repositories closure to:
QUESTION
All is in the question. I tried to transform the forestplot objects into ggplot object in order to use the ggarrange() function but it doesn't work. I also tried the as.grob() function or viewport(), but unsuccessfully. I describe below the two forest plots that I want to combine in one plot:
...ANSWER
Answered 2022-Feb-25 at 14:48This is tricky, since the forestplot objects are not actually grid grobs or ggplot objects, but rather S3 objects which contain the "ingredients" that are only "baked" into grobs when print is called on them. There is a way round this, which is to use ggplotify and patchwork to convert them to grobs, wrap them as plot objects, then arrange them.
QUESTION
I mimic code snippet at reference document at https://groovy-lang.org/syntax.html#_groovydoc_comment
Program
...ANSWER
Answered 2022-Feb-10 at 02:28Thank @tim_yates, Set VM option
QUESTION
I am building a large heatmap and have added a row annotation. This particular annotation must be on the left side of the heatmap, but when I add labels, the segment/link is facing the wrong direction. Can someone help me figure out how to flip the segment to be in between the label and the annotation?
Reproducible example:
...ANSWER
Answered 2022-Jan-03 at 18:10I figured out the answer to this: I had simply missed adding the side argument to anno_mark as follows:
QUESTION
As a follow up to this famous thread. I decided to ask a new question because this is more specifically for vertical legends, and the given answers still don't provide a fully satisfactory solution. For polygon key glyphs, there was a suggestion to increase the size of the margin between the actual polygon glyph and the key border, with a modification of the underlying draw_key function. However, this doesn't really work if I want to keep a border, e.g., in black.
And when using other geoms (e.g., geom_line), I don't even see how to increase the margin between glyph and border - on a brief glance at the draw_key function used in ggplot2:::GeomLine (it doesn't use an exported draw_key function), it is not clear to me where to modify this.
So, my question is if there is a way to change the actual space between the key glyphs that would allow to keep a border (e.g., color = "black"), and without increasing the glyph size.
...ANSWER
Answered 2021-Dec-29 at 23:53There is a way to do this, but it is not very intuitive. It depends on the byrow setting in the legend guide, whether the legend spacing is respected or not (don't ask me why!).
QUESTION
Background: Using a csv as input, I want to combine the first two columns into a new one (separated by an underscore) and add that new column to the end of a new csv.
Input:
...ANSWER
Answered 2021-Dec-22 at 23:29I was unable to reproduce the error you're seeing with your example code and Nextflow version. In fact, I get the expected output. This shouldn't be much of a surprise though, because you have correctly escaped the special dollar variables in your AWK command. The cause of the error is likely somewhere else in your code.
If escaping the special characters gets tedious, another way is to use a shell block instead:
It is an alternative to the Script definition with an important difference, it uses the exclamation mark
!character as the variable placeholder for Nextflow variables in place of the usual dollar character.
The example becomes:
QUESTION
Ive got the estimates and corresponding 95% confidence intervals from a regression model, which I am trying to plot.
The data looks as follows:
...ANSWER
Answered 2021-Dec-02 at 12:12How did you add the unicode?
QUESTION
I want to put asterisks in the heat map for P-values < 0.05. I have a separate spreadsheet with the P-values that I read into R and subsequently the heat map, however, the function i'm using doesn't seem to place the asterisks in the right cells. In the Figure below, for example, there are no P-values attached to the rho = 0 cells, and yet there are asterisks placed there.
Spreadsheet is shown below. For all P-values that are NA, I put in "1" to avoid an error. If there's a better way to do this on top of fixing the placements of the asterisks, please let me know.
The code that i'm using is as follows:
...ANSWER
Answered 2021-Nov-10 at 14:47I managed to fix this by removing the first column of labels in the spreadsheet and re-running the code. I think that converting the data frame as a matrix would give further assurance per this example. The issue with my code was that the order of sx_syn was not the same as sx_syn_p.
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