How to create an experiment of csv data with Studio9

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Hey Readers, Today, I am here with another blog. We will learn something special about creating an AL/ML model using Images. To perform this operation, Knoldus made a project which is known as Studio9.

First, we will know what is studio 9?

Studio 9 platform Enables developers to create, train and test the ML models quickly with a single click of a button along with other features like pipeline and custom pipeline creation using Jupiter lab.

In studio 9, We can create a model using images, CSV, and video. So in this blog, We will see how we can create a model using CSV data. To perform this operation, We need a few files. If we are creating a new model then we need to have two files – train and test because We will train a model on the basis of a CSV file which is called trained data.

After the creation of a new model, We can train any other data on the basis of that model. I have divided this process into steps. You can follow these steps to create a model:-

Step 1:

You need to log in to studio9. If you have a login ID otherwise you can click on the sign-in button and fill in the required details and create a user for studio9.

Step 2:

We need to upload the data – Train and test data:

Just simply click the import table on the left-side and  fill in the required details as per the requirement as below:

You can upload the data from the local system. Now click on the upload button. We need to follow the same step to upload test data.

Step 3:

Navigate to the lab section on the top  page:

Now, You can fill in the required details like experiment name, and experiment type – We will select Tabular train because We are using CSV data, Input data is train data(Here we need to select trained data) and Hold out data is a test data (Here we need to select test data). After that, in the input table, we need to change the ignore with predictor in starting 4 columns because they will act as the predictor, and in the last column, Change ignore to response because it will collect the response.

In the last just click on Create.

Hurry!!, Your tabular model has been created. Now you can use this model to train other data. You can save this model in the project and You can find your model in the model option on the left-side.

Studio9 Login Screenshot

Studio9 is an open source platform for doing collaborative Data Management & AI/ML anywhere Whether your data is trapped in silos or you’re generating data at the edge, Studio9 gives you the flexibility to create AI and data engineering pipelines wherever your data is. And you can share your AI, Data, and Pipelines with anyone anywhere. With Studio9, you can achieve newfound agility to effortlessly move between compute environments, while all your data and your work replicates automatically to wherever you want.

Studio9 Create Experiments Screenshot

As we did with the image data. We can perform the same operation on CSV data. We need to upload two files – train and test CSV files then simply perform the operation on those files and create a model. This model can be used to train further data.

Written by 

Rahul Miglani is Vice President at Knoldus and heads the DevOps Practice. He is a DevOps evangelist with a keen focus to build deep relationships with senior technical individuals as well as pre-sales from customers all over the globe to enable them to be DevOps and cloud advocates and help them achieve their automation journey. He also acts as a technical liaison between customers, service engineering teams, and the DevOps community as a whole. Rahul works with customers with the goal of making them solid references on the Cloud container services platforms and also participates as a thought leader in the docker, Kubernetes, container, cloud, and DevOps community. His proficiency includes rich experience in highly optimized, highly available architectural decision-making with an inclination towards logging, monitoring, security, governance, and visualization.