Once the HPCC Platform is installed on the host computer with the client tools, make sure to set "installation folder\clienttools\bin" to PATH in Windows OS.

Run the following commands on the Command Prompt in Windows or Terminal in Linux ubuntu:

ecl bundle install https://github.com/hpcc-systems/ML_Core

This installs the core bundle for all ML applications on HPCC Systems

ecl bundle install https://github.com/hpcc-systems/PBblas

This installs the Parallel Basic Linear Algebra Subprograms for HPCC which is used in many ML applications

ecl bundle install https://github.com/hpcc-systems/LinearRegression

This is the ECL bundle which has functions to perform Linear Regression on HPCC Systems

ecl bundle install https://github.com/hpcc-systems/LogisticRegression

This is the ECL bundle which has functions to perform Logistic Regression on HPCC Systems

ecl bundle install https://github.com/hpcc-systems/LearningTrees

This is the ECL bundle that has functions to use Decision Trees and Random forests for Regression and Classification on HPCC Systems

ecl bundle install https://github.com/hpcc-systems/KMeans

This is the ECL bundle that has functions to use KMeans clustering on a dataset using HPCC Systems

ecl bundle install https://github.com/hpcc-systems/DBSCAN

This is the ECL bundle that contains functions to apply "Density Based Spatial Clustering with Added Noise" (DBSCAN) on a dataset using HPCC Systems

ecl bundle install https://github.com/hpcc-systems/Visualizer

This is an ECL bundle which helps to generate visualisations of outputs that are obtained to understand our results better on HPCC Systems.

You may also use install.sh(Linux) or install.bat(Windows) to run these commands in sequence. It assumes HPCC Systems 7.10.6 is used and installed in the default directories.

.
├── .gitignore
├── assignments
│   ├── day2
│   │   ├── input_heartDs.ecl
│   │   ├── input_houseDs.ecl
│   │   ├── input_salaryDs.ecl
│   │   ├── input_socialDs.ecl
│   │   └── README.md
│   ├── day4
│   │   ├── filterset.ecl
│   │   ├── README.md
│   │   └── shuffle.ecl
│   └── persons
│       ├── getCount.ecl
│       └── persons.ecl
├── data
│   ├── heart_failure.csv
│   ├── house_prices_data.csv
│   ├── README.md
│   ├── Salary_Data.csv
│   └── Social_Network_Ads.csv
├── day4
│   ├── dataMod.ecl
│   ├── datasetManips.ecl
│   ├── functioneg.ecl
│   ├── sqlaggregates.ecl
│   └── transformeg.ecl
├── day5
│   ├── Datasets.ecl
│   ├── DBSCANExample.ecl
│   ├── KMClusteringExample.ecl
│   ├── LinRegExample.ecl
│   ├── LogRegExample.ecl
│   ├── README.md
│   ├── RFClassification.ecl
│   └── RFRegression.ecl
├── install.bat
├── install.sh
└── README.md

• data -> This folder contains all the datasets that we use for our operations in order to understand ECL and use it for machine learning
• assignments -> The assignments prescribed following the lab sessions are added onto this folder with description
• day4 -> The programs primarily used on day 4 to show how ECL language can be used to manipulate data is added in this folder
• day5 -> The programs used on day 5 to implement various machine learning algorithms on HPCC Systems using ECL are added onto this folder