Docker Demo/Assignment

https://github.com/PGCSEDS-IIITH/compose-iris contains code which demonstrates docker and docker-compose using the IRIS dataset (https://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html)

Pre-requisites

• Install docker
• Install docker-compose

Running Instructions

• Create a fork of the repo using the fork button.
• Clone your fork using git clone https://www.github.com/<your-username>/compose-iris.git
• Build the images using docker-compose build
• Spin up the containers using docker-compose up

Assignment Task

• Used Dibetes Data Set to do the task

df=pd.read_csv('https://raw.githubusercontent.com/jbrownlee/Datasets/master/pima-indians-diabetes.csv',header=None)

df.columns=['no_times_pregant','glu_conc','bp','skin_thickness','insulin','mass_index','diabetes_pedgree','age','dibetes_yn']

X= df.loc[ : , df.columns != 'dibetes_yn']

y=df['dibetes_yn']

clf=GaussianNB()

clf.fit(X, y)

import pickle

pickle.dump(clf, open("pima_indians_diabetes.pkl", "wb"))

Submission

Submit a link to your forked repository