Friendship

*Task description* 1. Create container image that’s has Python3 and Keras or numpy  installed  using dockerfile  2. When we launch this image, it should automatically starts train the model in the container. 3. Create a job chain of job1, job2, job3, job4 and job5 using build pipeline plugin in Jenkins  4. Job1 : Pull  the Github repo automatically when some developers push repo to Github. 5. Job2 : By looking at the code or program file, Jenkins should automatically start the respective machine learning software installed interpreter install image container to deploy code  and start training( eg. If code uses CNN, then Jenkins should start the container that has already installed all the softwares required for the cnn processing). 6. Job3 : Train your model and predict accuracy or metrics. 7. Job4 : if metrics accuracy is less than 80%  , then tweak the machine learning model architecture. 8. Job5: Retrain the model or notify that th...

Jenkins project  This is the problem statement  1. Create container image that’s has Jenkins installed  using dockerfile  2. When we launch this image, it should automatically starts Jenkins service in the container. 3. Create a job chain of job1, job2, job3 and  job4 using build pipeline plugin in Jenkins  4. Job1 : Pull  the Github repo automatically when some developers push repo to Github. 5. Job2 : By looking at the code or program file, Jenkins should automatically start the respective language interpreter install image container to deploy code ( eg. If code is of  PHP, then Jenkins should start the container that has PHP already installed ). 6. Job3 : Test your app if it  is working or not. 7. Job4 : if app is not working , then send email to developer with error messages. 8. Create One extra job job5 for monitor : If container where app is running. fails due to any reson then this job should automatically start the c...