iris3 | improved version of the Iris automatic GCP | GCP library

by doitintl Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | iris3 Summary

iris3 is a Python library typically used in Cloud, GCP applications. iris3 has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

An upgraded and improved version of the Iris automatic GCP-labeling project

Support

Quality

Security

License

Reuse

Support

iris3 has a low active ecosystem.

It has 51 star(s) with 13 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 12 have been closed. On average issues are closed in 84 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of iris3 is current.

Quality

iris3 has 0 bugs and 0 code smells.

Security

iris3 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

iris3 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

iris3 is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

iris3 releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

It has 1887 lines of code, 187 functions and 25 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed iris3 and discovered the below as its top functions. This is intended to give you an instant insight into iris3 implemented functionality, and help decide if they suit your requirements.

Tries to label one or more messages on the Logsink API
Extract the content of the message
Check that the given token is valid
Get configuration
Return the GCP object for the given log data
Get a specific dataset
Retrieve table metadata
Label all plugins
Log timing information
Returns the region for a GCP object
Get a GCP object from a log data response
Get GCP object from log data
Gets the GCP object for the given log data
Gets a GCP object from the log data
Return the zone for the given GCP object
Label all snapshots in given project
Returns the GCP object for the given log data
Label all topics in a project
Return the region for a GCP object
Label all the disks in a project
Label all databases in a project
Label all instances in a project
Label all buckets in a project
Label all datasets
Logs the execution time of a function
Label all instances in given project

Get all kandi verified functions for this library.

iris3 Key Features

No Key Features are available at this moment for iris3.

iris3 Examples and Code Snippets

No Code Snippets are available at this moment for iris3.

Community Discussions

Trending Discussions on iris3

Loading multiple CSV files (silos) to compose Tensorflow Federated dataset

Passing a function to multiple dataframes at the same time

Create R function from multiple scripts?

How can I summarize character columns in my dataframe in R?

Plotting coefficients of a list of regressions in R

Lapply for dlply

Get a list of the all the names of the objects in the datasets R package?

Toggle between more than 2 plots using the same actionButton() in shiny app

Toggle between 3 plots using 2 actionButtons in a shiny app

Why am I unable to load "Groceries" data set in R?

QUESTION

Loading multiple CSV files (silos) to compose Tensorflow Federated dataset

Asked 2022-Mar-10 at 17:04

I am working on pre-processed data that were already siloed into separated csv files to represent separated local data for federated learning.

To correct implement the federated learning with these multiple CSVs on TensorFlow Federated, I am just trying to reproduce the same approach with a toy example in the iris dataset. However, when trying to use the method tff.simulation.datasets.TestClientData, I am getting the error:

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ANSWER

Answered 2022-Mar-10 at 17:04

I did some search of public code in github using class tff.simulation.datasets.TestClientData, then I found the following implementation (source here):

Source https://stackoverflow.com/questions/71396780

QUESTION

Passing a function to multiple dataframes at the same time

Asked 2022-Feb-28 at 13:06

I have 3 dataframes:

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ANSWER

Answered 2022-Feb-27 at 14:21

You can do:

Source https://stackoverflow.com/questions/71285406

QUESTION

Create R function from multiple scripts?

Asked 2022-Feb-04 at 20:10

Not too good with functions. Is there a way to write the below script as a function? I have a list of dataframes that I want to apply the below scripts to.

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ANSWER

Answered 2022-Feb-04 at 19:59

Yes, its quite easy.

Let me know if this helps you:

Source https://stackoverflow.com/questions/70992137

QUESTION

How can I summarize character columns in my dataframe in R?

Asked 2022-Jan-31 at 16:33

With numeric columns and factor columns, summary() provides some information useful in understanding the data. For example, this output using the iris dataset:

Here, we see min, 1st quartile, median, mean, 3rd quartile, and max for the numeric columns, which is helpful for a quick spot-check. We also see counts on the factor column.

Running the following code just to create an all-character-column data frame and checking summary(), we get a result that isn't very helpful as a summary of the values in my data (at least for the purposes that I'm interested in).

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ANSWER

Answered 2022-Jan-31 at 16:33

If it is to get an overall summary of the dataset, skim may be useful

Source https://stackoverflow.com/questions/70929343

QUESTION

Plotting coefficients of a list of regressions in R

Asked 2021-Oct-16 at 11:01

I have a list of 14 lists of coefficients.. Each sublist is a quarter for a region. I need to plot the coefficients from 1-14 as X (progression of time) and the coefficients themselves as Y, with a different graph for each region. A reproducible example would be:

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ANSWER

Answered 2021-Oct-16 at 11:01

It is not very clear what you want to do, but I try to guess: First, I changed your example to inject some randomness, so the line plot will not be a flat line. Second, I extracted from res the coefficient for each species for each sublist and transformed it into a long format dataframe (with reshape2::melt). Finally I plot the df using species as facetting variables

Source https://stackoverflow.com/questions/69593902

QUESTION

Lapply for dlply

Asked 2021-Oct-15 at 17:31

I'm trying to apply a linear regression to a list of data frames, filtered for a specific value. For example, having a list of Iris data frames, I'm trying to run a regression for Sepal.Length ~ Sepal.Width, with each species running a different regression.

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ANSWER

Answered 2021-Oct-15 at 17:31

purrr

Try using purrr::map if you want to apply a regression across a list of data frames:

Source https://stackoverflow.com/questions/69587835

QUESTION

Get a list of the all the names of the objects in the datasets R package?

Asked 2021-Aug-07 at 17:53

How can I get a list of the exact names of the objects in the datasets package?

I found many of them here:

...

ANSWER

Answered 2021-Aug-07 at 17:53

There is a note on the ?data help page that states

Where the datasets have a different name from the argument that should be used to retrieve them the index will have an entry like beaver1 (beavers) which tells us that dataset beaver1 can be retrieved by the call data(beavers).

So the actual object name is the thing before the parentheses at the end. Since that value is returned as just a string, that's something you'll need to remove yourself unfortunately. But you can do that with a gsub

Source https://stackoverflow.com/questions/68694583

QUESTION

Toggle between more than 2 plots using the same actionButton() in shiny app

Asked 2021-Apr-21 at 14:49

I have the shiny app below in which I want to toggle between 3 plots using the same actionButton().

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ANSWER

Answered 2021-Apr-21 at 14:49

One nice way to do this (iterate through 3 options by pressing one button to toggle between them) is to first understand that you can access the value of an action button via input in the server section. Each time the user presses the button in the app you shared, the value of input$exc will increment by 1.

You can use this to your advantage to realize that you can determine which plot to show based on the value of the button and the mod (%%) operator. Thus, input$exc %% 3 can be used to cycle through values equal to 1, 2, and 0. Map that value to the plot you want to show and you have a way to do what you describe.

In the app below, you'll see I added a textOutput() UI element that show the current value of the button so you can see what's going on.

Source https://stackoverflow.com/questions/67197410

QUESTION

Toggle between 3 plots using 2 actionButtons in a shiny app

Asked 2021-Apr-20 at 02:24

I have the shiny app below which initialy should display a plot of the iris dataset. If Datatable is pressed then it should display the datatable of iris dataset,if pressed again it should display the initial plot of iris dataset again. If Iris3 is pressed then it should display the plot of iris3 dataset, if pressed again it should display the initial plot of iris dataset again.

...

ANSWER

Answered 2021-Apr-20 at 02:24

Try this

Source https://stackoverflow.com/questions/67170040

QUESTION

Why am I unable to load "Groceries" data set in R?

Asked 2021-Mar-18 at 10:25

I am unable to load Groceries data set in R.

Can anyone help?

...

ANSWER

Answered 2021-Mar-18 at 10:25

Groceries is in the arules package.

Source https://stackoverflow.com/questions/66689053

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install iris3

You can download it from GitHub.
You can use iris3 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.

Support

Right now, there are plugins for the following types of resources. To learn what label keys are added, search for def _gcp_<LABEL_NAME>), i.e., functions whose names start _gcp_. The part of the function name after _gcp_ is used for the label key.

Find more information at: