featuren | A simple application for managing your features | Access Management library
kandi X-RAY | featuren Summary
kandi X-RAY | featuren Summary
Feature flags/toggles/controls are a software development best practice of gating functionality, used by companies like Google and Facebook. Functionality can be deployed “off”, then turned on via the feature flag, separate from deployment. More details about: The main goal for this project is create a simple and open source application for managing your features in production.
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Top functions reviewed by kandi - BETA
- Create a new feature
- Update the list of services
- Ensures that the ID field contains whitespace
- Check that services exist
- Resolve the authorization header
- Extract data from authorization header
- Raises HTTP exception if a valid Authorization header is provided
- Update a feature
- Find a feature by id
- Check if rule is allowed
- Create the table
- Create a new instance
- Get a list of features
- Set the visible features to the given values
- Login a user
- Create a new user
- Get a feature by id
- Delete a feature
- Create the db
- Create the database
- Create the feature table
featuren Key Features
featuren Examples and Code Snippets
Community Discussions
Trending Discussions on featuren
QUESTION
Iterate over the second column and return row contents according to its priority, for example, if 'high' is found save it to file, else look for 'intermediate', if found save it to file else look for 'low' if found save it to file and then go for the next item of the column.
csv File:
...ANSWER
Answered 2021-Dec-29 at 08:22Use ordered Categorical, so possible sorted by both columns by DataFrame.sort_values and get first duplicate rows by DataFrame.drop_duplicates:
QUESTION
I have a dataset of genes scored between 0 to 1 of the likelihood of causing disease (genes scored at 1 are known to cause disease, and a gene scored at say 0.74 is probable to cause disease). I am trying to build a machine learning model to predict that disease score for new genes in regression classification.
I want to look at a shap decision plot for the genes which are known disease genes but are being scored low (e.g. genes that are scored 1 but my model is scoring less than 0.8). I am struggling to group these genes together to plot.
My data looks like:
...ANSWER
Answered 2020-Oct-14 at 14:10Since I don't have your dataset, I can't check the code, but here some thoughts that may show you the direction.
It seem that you do not train you regressor. It should be line like
QUESTION
I have a genetic dataset where the index of a row is the name of the gene. I am looking to also find the row number of any given gene so I can look at genes individually after they've gone through a machine learning model prediction - to interpret the gene's prediction in shap. How I code for the shap plot currently needs a row number to pull out the specific gene.
My data looks like this:
...ANSWER
Answered 2020-Oct-09 at 11:19Try the following. df is your dataframe and result will give you the row number (first row will result 1, etc) for a given gene
QUESTION
This is my code
...ANSWER
Answered 2020-May-05 at 15:49**I figure out that the problem was at the request and actually didnt need an select event :**
function deleteFeatures() {
var selectedFeat = selectFeat.getFeatures();
if (selectedFeat.getLength() > 0) {
var toDeleteFeat = selectFeat.getFeatures().getArray()[0];
//wfsSource.clear();
console.log(toDeleteFeat.geometryName);
transactWFS("delete", toDeleteFeat);
} else
window.alert("Please select a layer first :" + selectedFeat.getLength());
}
**And the request must be like this;**
$.ajax("http://localhost:8080/geoserver/Flori/ows?", {
service: "WFS",
type: "POST",
dataType: "xml",
processData: false,
contentType: "text/xml",
data: featString,
}).done(function () {
// wfsSource.refresh();
wfsSource.clear();
});
QUESTION
I'm able to extract data from geojson file (produced from GeoServer WFS layer type) and display it on browser using OpenLayer. But I'm facing problem when I only want to display the data with certain features aka filtering.
My JSON filename -> gpr.geojson
GeoServer layername -> visualization:GPR
Attribute filter -> branchCode = N01821 and routeCode = 0650
I followed filtering tutorial from https://www.giserdqy.com/wp-content/guids/ol-v4.6.5/examples/vector-wfs-getfeature.html and I also have tried using CQL_FILTER but no luck at all
Below is my code and the filtering doesn't work
...ANSWER
Answered 2020-Feb-19 at 15:11You can still use a request and CQL_FILTER in OL just like your leaflet example, something like this,
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install featuren
You can use featuren like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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