cml | ♾️ CML - Continuous Machine Learning | CI/CD for ML | Continous Integration library

 by   iterative JavaScript Version: v0.19.0 License: Apache-2.0

kandi X-RAY | cml Summary

kandi X-RAY | cml Summary

cml is a JavaScript library typically used in Devops, Continous Integration, Docker applications. cml has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can install using 'npm i @dvcorg/cml' or download it from GitHub, npm.

What is CML? Continuous Machine Learning (CML) is an open-source CLI tool for implementing continuous integration & delivery (CI/CD) with a focus on MLOps. Use it to automate development workflows — including machine provisioning, model training and evaluation, comparing ML experiments across project history, and monitoring changing datasets. CML can help train and evaluate models — and then generate a visual report with results and metrics — automatically on every pull request.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              cml has a medium active ecosystem.
              It has 3736 star(s) with 305 fork(s). There are 50 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 60 open issues and 550 have been closed. On average issues are closed in 198 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of cml is v0.19.0

            kandi-Quality Quality

              cml has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              cml is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              cml releases are available to install and integrate.
              Deployable package is available in npm.
              Installation instructions, examples and code snippets are available.
              It has 12 lines of code, 0 functions and 38 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of cml
            Get all kandi verified functions for this library.

            cml Key Features

            No Key Features are available at this moment for cml.

            cml Examples and Code Snippets

            No Code Snippets are available at this moment for cml.

            Community Discussions

            QUESTION

            How do I deserialize an XML API response in ASP.NET?
            Asked 2022-Jan-11 at 04:00

            I am working on a project that calls an API (using C# ASP.NET), and the API returns an XML document. I know how to deserialize an response in JSON, but am running into issues with deserializing an XML response. Currently I am getting the below error when attempting to deserialize the XML:

            InvalidOperationException: response xmlns="" was not expected.

            The error code displayed just the empty quotes in the error message. I have the code samples below, and I would greatly appreciate any constructive feedback or advice on making this better, and any advice on where I went wrong on attempting to deserialize this!

            Here is the XML response from the API call (This API only returns either CML or a .csv):

            ...

            ANSWER

            Answered 2022-Jan-11 at 04:00

            try this, it was tested in Visual Studio

            Source https://stackoverflow.com/questions/70660491

            QUESTION

            How can we split an xml with lxml?
            Asked 2021-Dec-19 at 12:50

            I am looking for a good way to split the following xml

            ...

            ANSWER

            Answered 2021-Dec-19 at 12:50

            I would approach it in the following way. Note that you have to take into account namespaces, so the code reflects that:

            Source https://stackoverflow.com/questions/70410640

            QUESTION

            Add value to a Row by matching column name in one table to column value in another in R
            Asked 2021-Nov-17 at 18:08

            Df1:

            ...

            ANSWER

            Answered 2021-Nov-17 at 18:08

            Using data.table:

            Although this works for this example, you can't use it as-is for "any" other data set. It requires some knowledge of the data, which can be adjusted easily when following the preparation steps (see explanation).

            Source https://stackoverflow.com/questions/70007824

            QUESTION

            Automate json query to get data
            Asked 2021-Nov-04 at 13:58

            Lisbon city has open data, regarding several parameters, of sensors around the city. The JSON query is the following

            http://opendata-cml.qart.pt/measurements/RULAEQ0001?startDate=202104010000&endDate=202108310000

            This will return the registered noise levels RULAEQfor station 0001between the those dates expressed in YYYYMMDDHHMM

            There are 80 monitoring stations across the city and I would like to get the data for each one of them. The stations are numbered from 0001 to 0080.

            What is the best way to automate this process in python?

            Thank you in advance.

            Note 1: I have the code working for one single query

            ...

            ANSWER

            Answered 2021-Nov-04 at 13:58
            # -*- coding: utf-8 -*-
            
            # Import libraries
            
            import pandas as pd 
            import urllib.request, json 
            from flatten_json import flatten
            
            for station in list(range(1, 80)):
            
                # Query URL
                url = f'http://opendata-cml.qart.pt/measurements/RULAEQ{str(station).zfill(4)}?startDate=202104010000&endDate=202108310000'
                print(station)
                # Read JSON from URL and decode
                with urllib.request.urlopen(url) as url:
                    data = json.loads(url.read().decode())
            
                # Flatten JSON data
            
                data_flattened = [flatten(d) for d in data]
            
                # Create dataframe
            
                df = pd.DataFrame(data_flattened)
            
                # Print Dataframe
            
                print(df)
            

            Source https://stackoverflow.com/questions/69840130

            QUESTION

            Op type not registered \'IO>BigQueryClient\' with BigQuery connector on AI platform
            Asked 2021-Oct-06 at 23:14

            I'm trying to parallelize the training step of my model with tensorflow ParameterServerStrategy. I work with GCP AI Platform to create the cluster and launch the task. As my dataset is huge, I use the bigquery tensorflow connector included in tensorflow-io.

            My script is inspired by the documentation of tensorflow bigquery reader and the documentation of tensorflow ParameterServerStrategy

            Locally my script works well but when I launch it with AI Platform I get the following error :

            {"created":"@1633444428.903993309","description":"Error received from peer ipv4:10.46.92.135:2222","file":"external/com_github_grpc_grpc/src/core/lib/surface/call.cc","file_line":1056,"grpc_message":"Op type not registered \'IO>BigQueryClient\' in binary running on gke-cml-1005-141531--n1-standard-16-2-644bc3f8-7h8p. Make sure the Op and Kernel are registered in the binary running in this process. Note that if you are loading a saved graph which used ops from tf.contrib, accessing (e.g.) `tf.contrib.resampler` should be done before importing the graph, as contrib ops are lazily registered when the module is first accessed.","grpc_status":5}

            The scripts works with fake data on AI platform and works locally with bigquery connector. I imagine that the compilation of the model including the bigquery connector and its calls on other devices creates the bug but I don't know how to fix it.

            I read this error happens when devices don't have same tensorflow versions so I checked tensorflow and tensorflow-io version on each device.

            tensorflow : 2.5.0

            tensorflow-io : 0.19.1

            I created a similar example which reproduce the bug on AI platform

            ...

            ANSWER

            Answered 2021-Oct-06 at 22:04

            As far as I understand this happens because when you submit your training job to Cloud AI training, it is using a stock TensorFlow 2.5 environment that doesn't have tensorflow-io package installed. Therefore it is complaining that it doesn't know about 'IO>BigQueryClient' op defined in tensorflow-io package.

            Instead you can submit your training job to be using a custom container: https://cloud.google.com/ai-platform/training/docs/custom-containers-training

            You don't need to write a new Docker file, you can use gcr.io/deeplearning-platform-release/tf-cpu.2-5 or gcr.io/deeplearning-platform-release/tf-gpu.2-5 (if your training job needs GPU) that has the right version of tensorflow-io installed.

            You can read more about these containers here: https://cloud.google.com/tensorflow-enterprise/docs/use-with-deep-learning-containers

            Here is my old example showing how to run a distributed training on Cloud AI using BigQueryReader: https://github.com/vlasenkoalexey/criteo/blob/master/scripts/train-cloud.sh

            It is no longer maintained, but should give you a general idea how it should look like.

            Source https://stackoverflow.com/questions/69454217

            QUESTION

            `shell: bash -l {0}` in GitHub Actions
            Asked 2021-Sep-06 at 16:33

            When I use setup-miniconda, it uses shell: bash -l {0} in GitHub Actions:

            ...

            ANSWER

            Answered 2021-Sep-06 at 16:33

            That could be linked to issue 128 which states:

            I got stuck for a while because my run commands were not using a login bash shell.
            So the conda environment was not active.

            Would be helpful to warn about that and recommend something like the following in the yaml:

            Source https://stackoverflow.com/questions/69070754

            QUESTION

            Azure devops - GIT - Command Line vs PowerShell Task - %2 is getting removed from the URL in command line task but works in PS
            Asked 2021-Aug-12 at 04:31

            Using the below works when I use a PS Task in the ADO build pipeline but the same fails in Command line task.

            ...

            ANSWER

            Answered 2021-Aug-12 at 04:31

            Change the occurrence of %20 with %%20. The command shell is interpreting %2 as an argument that is empty. That leaves 0.

            Source https://stackoverflow.com/questions/68751369

            QUESTION

            Getting error in executing windows batch command through Jenkins integration tool
            Asked 2021-Aug-07 at 06:56

            Im trying to build a project through Jenkins integration tool. I tried to run locally through batch Command line option. I had earlier installed newman package as well as jenkins.war package to run through local server. But, when i try to build the project im getting an error below. Im a beginner but has no idea how to get rid of this error.

            newman run C:\Users\MKBMX500.jenkins\workspace\Exported Collection\CountriesAPcollection.postman_collection.json

            This is the exact path entered in the Jenkins CML batch option and i have rechecked the json file has no error at all. Any solution will be appreciated.

            ...

            ANSWER

            Answered 2021-Aug-07 at 06:56

            Figured out the solution, not sure it exactly the same procedure or not, but for me the problem was somehow the path of the .json file. I'd copied the json file & paste into to .jenkins workspace folder created in users dir of c:\ drive. Project's name should have to be similar to that of the .json file folder. That worked least for me. Here is the screenshot

            As the name of folder is API_run, so created jenkins project with this same name. Build was completed & finished successfully.

            Source https://stackoverflow.com/questions/68648991

            QUESTION

            Could not load dynamic library libcuda.so.1 error on Google AI Platform with custom container
            Asked 2021-Mar-11 at 01:46

            I'm trying to launch a training job on Google AI Platform with a custom container. As I want to use GPUs for the training, the base image I've used for my container is:

            ...

            ANSWER

            Answered 2021-Mar-11 at 01:05

            The suggested way to build the most reliable container is to use the officially maintained 'Deep Learning Containers'. I would suggest pulling 'gcr.io/deeplearning-platform-release/tf2-gpu.2-4'. This should already have CUDA, CUDNN, GPU Drivers, and TF 2.4 installed & tested. You'll just need to add your code into it.

            Source https://stackoverflow.com/questions/66550195

            QUESTION

            fixing a pine screener conversion
            Asked 2021-Feb-04 at 09:07

            I'm trying to use and convert following code in a Pine screener

            ...

            ANSWER

            Answered 2021-Feb-04 at 09:07

            All calculations that are necessary for the function screenerFunc must be included in this function. Also, if you use the history access operator [1], you must first declare the variable. The errors in the script below are fixed, but you should check for yourself whether the script creates the labels correctly.

            Source https://stackoverflow.com/questions/66041229

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

            Vulnerabilities

            No vulnerabilities reported

            Install cml

            You'll need a GitLab, GitHub, or Bitbucket account to begin. Users may wish to familiarize themselves with Github Actions or GitLab CI/CD. Here, will discuss the GitHub use case.
            :warning: Note that if you are using GitLab, you will need to create a Personal Access Token for this example to work.
            Fork our example project repository.
            To create a CML workflow, copy the following into a new file, .github/workflows/cml.yaml:
            In your text editor of choice, edit line 16 of train.py to depth = 5.
            Commit and push the changes:
            In GitHub, open up a pull request to compare the experiment branch to master.
            you push changes to your GitHub repository,
            the workflow in your .github/workflows/cml.yaml file gets run, and
            a report is generated and posted to GitHub.

            Support

            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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries

            Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Explore Related Topics

            Consider Popular Continous Integration Libraries

            chinese-poetry

            by chinese-poetry

            act

            by nektos

            volkswagen

            by auchenberg

            phpdotenv

            by vlucas

            watchman

            by facebook

            Try Top Libraries by iterative

            dvc

            by iterativePython

            mlem

            by iterativePython

            PyDrive2

            by iterativePython

            dvc.org

            by iterativeTypeScript