nni | open source AutoML toolkit for automate machine learning | Machine Learning library

 by   microsoft Python Version: v3.0rc1 License: MIT

kandi X-RAY | nni Summary

kandi X-RAY | nni Summary

nni is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. nni has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. However nni has 80 bugs. You can download it from GitHub.

nni doc | 简体中文. nni (neural network intelligence) is a lightweight but powerful toolkit to help users automate feature engineering, neural architecture search, hyperparameter tuning and model compression. the tool manages automated machine learning (automl) experiments, dispatches and runs experiments' trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in different training environments like local machine, remote servers, openpai, kubeflow, frameworkcontroller on k8s (aks etc.), dlworkspace (aka. dlts), aml (azure machine learning), adaptdl (aka. adl) , other cloud options and even hybrid mode. who should consider using nni. nni capabilities in a glance. nni provides commandline tool as well as an user friendly webui to manage training experiments. with the extensible api, you can customize your own automl algorithms and training services. to make it easy for new users, nni also provides a set of build-in state-of-the-art automl algorithms and out of box support for popular training platforms. within the following table, we summarized the current nni capabilities, we are gradually adding new capabilities and

            kandi-support Support

              nni has a medium active ecosystem.
              It has 12981 star(s) with 1800 fork(s). There are 283 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 270 open issues and 1655 have been closed. On average issues are closed in 244 days. There are 16 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of nni is v3.0rc1

            kandi-Quality Quality

              nni has 80 bugs (2 blocker, 0 critical, 12 major, 66 minor) and 1143 code smells.

            kandi-Security Security

              nni has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              nni code analysis shows 0 unresolved vulnerabilities.
              There are 147 security hotspots that need review.

            kandi-License License

              nni is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              nni releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              nni saves you 51640 person hours of effort in developing the same functionality from scratch.
              It has 59856 lines of code, 4290 functions and 879 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed nni and discovered the below as its top functions. This is intended to give you an instant insight into nni implemented functionality, and help decide if they suit your requirements.
            • Handle graph nodes .
            • Create argument parser .
            • Return a copy of a training service .
            • Evaluate the current selection .
            • Searches for the op config .
            • Assemble model placement .
            • Build the graph .
            • Build an engine .
            • Replaces a convolutional convolutional .
            • Run pruning .
            Get all kandi verified functions for this library.

            nni Key Features

            No Key Features are available at this moment for nni.

            nni Examples and Code Snippets

            How to use NNI to do Automatic Feature Engineering?,Quick Start
            Pythondot img1Lines of Code : 77dot img1no licencesLicense : No License
            copy iconCopy
            import nni
            if __name__ == '__main__':
                file_name = 'train.tiny.csv'
                target_name = 'Label'
                id_index = 'Id'
                # read original data from csv file
                df = pd.read_csv(file_name)
                # get parameters from tuner
            +   RECEIVED_FEATURE_CANDI  
            Supplementary details for ,Experiment,Generating
            PHPdot img2Lines of Code : 44dot img2License : Permissive (MIT)
            copy iconCopy
            # Function for exploring study regions of varying geography
            find.geography <- function(england_msoas, msoas, england_OAs, coef_var_min, coef_var_max, nni_min, nni_max, calculate_coef_var)
                sample_msoa <- england_msoas[sample(e  
            C++dot img3Lines of Code : 37dot img3License : Strong Copyleft (GPL-2.0)
            copy iconCopy
            bazel build //src:ASTRID -c opt
            ASTRID -i  -o 
            -i --input        Specify input file. Should contain one tree per line, in Newick format.
            -o --output       Specify output file (default is infile.astrid). Will contain one output tree, in Newick forma  

            Community Discussions


            How to match DataFrame index and column against dictionary key and multiple values?
            Asked 2022-Feb-16 at 22:37

            How can I modify the below dictionary comprehension to take into account that column s should also be a matching criteria?



            Answered 2022-Feb-16 at 22:32

            You can add it as boolean mask like:

            Source https://stackoverflow.com/questions/71150002


            How can I ignore missing keys in a dict comprehension?
            Asked 2022-Feb-16 at 19:09

            I'm trying to count the number of instances of a particular value in a dictionary using the index from a DataFrame as the key. Some of the DataFrame indexes however are missing from the set of dictionary keys. How can I construct a dictionary comprehension to overcome this?



            Answered 2022-Feb-16 at 19:05

            Your if clause should involve dct instead of df.index if i understood you correctly

            Source https://stackoverflow.com/questions/71147675


            Compute stats from a dictionary and populate a new column in a DataFrame
            Asked 2022-Feb-16 at 18:57

            Below is a data frame that contains some summary information related to a few records along with a that dictionary contains more detailed information for a subset of those records. In reality the DataFrame and the dictionary contain thousands of entries but for purposes of simplicity I've limited the entries.



            Answered 2022-Feb-16 at 18:49

            You could use a dict comprehension as well. Traverse dct and compare values, wrap it in a Series and assign it to df:

            Source https://stackoverflow.com/questions/71146313


            Access a struct variable when struct is passed as a double pointer
            Asked 2022-Jan-24 at 16:32

            I have a function as follows



            Answered 2022-Jan-24 at 15:09

            It looks like a typical C interface for a setup or init function to me.

            Double pointers (object_type**) is used so the object can be allocated on the heap and the address can be returned to the caller of the function. And I fear, that's what you are missing. You try to write to an object, that doesn't exist.

            If the caller of the function was benign, they initialized the pointer to nullptr before passing it (or let's better say, its address) to the function and you can verify, that it has to be created first. But since nullptr initialization is not default, you cannot count on it.

            Just a few days ago, CppCon channel on YouTube posted a nice talk of last years event on the basics of pointers (https://www.youtube.com/watch?v=0zd8eznWv4k).

            Source https://stackoverflow.com/questions/70835747


            How implement a Mean Standard Error (MSE) metric for NNI (Neural network intelligence) in pytorch?
            Asked 2021-Dec-03 at 15:20

            I am somewhat new to pytorch since I have been using Keras for some years. Now I want to run a network architecture search (NAS) based on DARTS: Differentiable Architecture Search (see https://nni.readthedocs.io/en/stable/NAS/DARTS.html) and it is based on pytorch.

            All examples available use accuracy as a metric, but I would need to calculate MSE. This is one of the examples available:



            Answered 2021-Dec-03 at 15:20

            Finally I figured out that the transpose (.t() ) wac causing the problem, so the final code is:

            Source https://stackoverflow.com/questions/70127615


            Apache "RequestHeader set" does not work on header with underscore
            Asked 2021-Nov-05 at 09:01

            In a legacy application, we have to use a http header that looks like this "Drupal_NNI". Since we just migrated to a newest version of Apache, this header is not even recognized, so I found a trick to still use the underscore but change it with a dash when caught by apache :



            Answered 2021-Nov-05 at 09:01

            I found the solution, thanks to this post : Apache - Convert underscores to dashes in headers.

            I just had to add this line right before mine :

            Source https://stackoverflow.com/questions/69842057


            C# Get YouTube videoId from Json
            Asked 2021-Jun-05 at 08:05

            I need help. I'm making a program using the youtube library, for c#.

            For songs it works perfect. The problem is in the playlist I want to recover "videoId" to add it to a database, to put the videos in "queue".

            I am using this method:



            Answered 2021-Jun-05 at 06:08

            Instead of going to every path you can use below code :

            Source https://stackoverflow.com/questions/67846628


            Mixed data partitions in phylogeny reconstruction in R
            Asked 2021-Feb-04 at 15:59

            Let's have two matrices, one DNA sequence alignment and one consisting of binary characters.



            Answered 2021-Feb-04 at 15:59

            You are almost there, the following code should work:

            Source https://stackoverflow.com/questions/65993777


            Comparing string to multiple strings in python
            Asked 2020-Nov-21 at 08:45

            I'm trying to compare cell value of dataframe to some strings and concat that matched string in a variable but I'm getting error. Could someone please check..!



            Answered 2020-Nov-21 at 08:42

            Assuming you are trying to check whether your rail[x].index[b] is either of ('WD' | 'POT' | 'NGI') on each iteration,

            Try the below snippet if it is the case,

            Source https://stackoverflow.com/questions/64941142


            Extract value from PHP array and echo on HTML page multidimensional response from Curl script
            Asked 2020-Nov-05 at 19:58

            I'm new to PHP. I have the following array, I would like to understand how to request a single variable, and echo on my html page:



            Answered 2020-Nov-05 at 12:46

            Based on your code I'd say that to access the request you are sending, you need the $risposta_NNI variable.

            Source https://stackoverflow.com/questions/64696655

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


            No vulnerabilities reported

            Install nni

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


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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