moss | Assorted utilities for neuroimaging and cognitive science | Machine Learning library
kandi X-RAY | moss Summary
kandi X-RAY | moss Summary
Moss is a library of functions, classes, and scripts to that may be useful for analyzing scientific data. Because this package is developed for neuroimaging and cognitive science, there is probably some bias towards applications that are useful in that domain. However, the functions are intended to be written in as general and lightweight a fashion as possible.
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Top functions reviewed by kandi - BETA
- Map a Vororoii surface to a high resolution
- Maps the surface to the given high resolution
- Finds the distance between two nodes
- Convert coordinates to box indices
- Get the mapping between two surface sites
- Maps the surface to a high resolution
- Find connected components
- Update the parameters from a dictionary
- Return a list of nodes on the border
- R Return a boolean array of nodes on the mesh
- Return pairs of pairs that are pairwise near the given components
- Returns all connected components
- Create a sub - surface of a surface
- Reposition hemisphere pairs
- Optimizes an event schedule
- Optimizes the cb1 objective function
- Convolve the kernel
- Convolve the latent function
- Plot the correlation matrix
- Split the surface by connected components
- Plot the design matrix
- Calculate the n - 2d n - point coordinates for a given radius
- Calculate the error score
- Calculate the error function
- The face normals
- The node normals
moss Key Features
moss Examples and Code Snippets
Community Discussions
Trending Discussions on moss
QUESTION
I am making a PowerShell script that is supposed to retrieve and compare the server IDs in two tools that we are using - Octopus tool and MOSS (the idea is to check that all servers in Octopus are also registered in MOSS). The Octopus is accessed on PowerShell via MySQL query and the MOSS is accessed via API call. Currently I am able to retrieve successfully the sql query and format it to JSON to be able to be readable by MOSS. However, I am not aware as to how to make the check if the server IDs are also present in the MOSS. All that the script does is retrieve the IDs from the Octopus SQL and then parse them to JSON and make an empty call to MOSS. Would highly appreciate it if anyone knows how to make MOSS calls from PowerShell.
The current script is:
...ANSWER
Answered 2022-Mar-07 at 23:37The order was wrong, as well as lots of unneccessary elements causing errors and crashes.
Current working code is:
QUESTION
I am using the isomap-function from vegan package in R to analyse community data of epiphytic mosses and lichens. I started analysing the data using NMDS but due to the structure of the data ran into problems which is why I switched to ISOMAP which works perfectly well and returns very nice results. So far so good... However, the output of the function does not support plotting of species within the ISOMAP plot as species scores are not available. Anyway, I would really like to add species information to enhance the interpretability of the output.
Does anyone of you has a solution or hint to this problem? Is there a way to add species kind of post hoc to the plot as it can be done with environmental data?
I would greatly appreciate any help on this topic!
Thank you and best regards, Inga
...ANSWER
Answered 2022-Mar-06 at 20:22No, there is no function to add species scores to isomap. It would look like this:
QUESTION
My query is simple - add field:value to existing doc, but it fails with error of document_missing_exception. the code below is without parameters to make it easy to view i use opensearch py client and set the index,co_type as that indx, id of the document and query body, as seen in previous post How to update a document using elasticsearch-py?
...ANSWER
Answered 2022-Feb-17 at 12:03What is the Elasticsearch version you are using?
Please try by giving
QUESTION
I have a task to configure the following Ansible playbook to ignore error code 422 (which should happen when it looks for a volume that is detached from the server).
Furthermore, I currently see that this situation can also display error code 400, so, I may also have to exclude this.
ANSWER
Answered 2022-Feb-11 at 01:09You can use a better mechanism than ignore_errors in this case, it is failed_when.
With it, you can fine grain the failure of a task to exactly what you want.
In your case it would be something like:
QUESTION
import numpy as np
from imageio import imread, imwrite
im1 = imread('https://api.sofascore.app/api/v1/team/2697/image')[...,:3]
im2 = imread('https://api.sofascore.app/api/v1/team/2692/image')[...,:3]
result = np.hstack((im1,im2))
imwrite('result.jpg', result)
ANSWER
Answered 2022-Feb-05 at 20:43If you want to change the background of a Image, pixellib is the best solution because it seemed the most reasonable and easy library to use.
QUESTION
I have a categorical raster which has 21 categories:
...ANSWER
Answered 2022-Feb-01 at 16:48This is copied from ?terra::levels
QUESTION
im not programer, i have json file, want to see in html file, i try to convert with https://www.convertjson.com/ its work, but thats only make a basic table, like excel, no filter, dropdown not as shown on the web preview, what should I do so that the html results are as displayed on the web preview on the web
...ANSWER
Answered 2022-Jan-17 at 23:07You can use bootstrap librariy.
https://getbootstrap.com/docs/4.0/content/tables/
Or, you can use open-source javascript grid libraries.
https://blog.logrocket.com/5-open-source-javascript-datagrids/
QUESTION
I have kind of a special problem. I am currently learning react and have fetched data from my own demo API (a Java Spring project).
However, I receive the data correctly in React. Now I am creating Components with it (Music Track Metadata). The response of the API returns an Array of Objects and one item within the object is a nested object. Now i don't know how i can extract this information to my React component.
Here is an example JSON of my response:
...ANSWER
Answered 2021-Oct-26 at 16:02So, your response.data is an array of 'tracks'. Each 'track' is an Object. You are currently destructuring your 'track' like so, in your .map() method:
QUESTION
I have a relatively large NumPy array (1212,1612) that contains OBJECTID values corresponding to unique segments of an RGB image. Furthermore, I have a different Pandas Dataframe of 107305 rows that contains all OBJECTID values and their corresponding vegetation type class resulting from a Random Forest classification. I want to (iteratively) replace the OBJECTID values in the NumPy array with the vegetation type class corresponding to that specific OBJECTID value.
The NumPy array ('array') looks like this:
...ANSWER
Answered 2021-Oct-26 at 15:18Here you go:
QUESTION
Objective
Write a function values(f, low, high) that yields an array of function values [f(low), f(low + 1), . . ., f(high)].
What I Tried
...ANSWER
Answered 2021-Sep-26 at 17:47You can create an anonymous function each time.
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