POC | The Blog Pros

October 28, 2020

How to Setup/Install MLFlow and Get Started

In this post, you will learn about how to setup/install MLFlow right from your Jupyter Notebook and get started tracking your machine learning projects. This would prove to be very helpful if you are running an enterprise-wide AI practice where you have a bunch of data scientists working on different ML projects. MLFlow will help you track the score of different experiments related to different ML projects.

Install MLFlow Using Jupyter Notebook

In order to install/set up MLFlow and do a quick POC, you could get started right from within your Jupyter notebook. Here are the commands to get set up. MLFlow could be installed with the simple command: pip install mlflow. Within Jupyter notebook, this is what you would do:

May 15, 2020

Basic Frontend Dev Environment Setup

In this post, I will share with you a very basic development environment setup which is very useful if you just quickly want to evaluate some functionality. At the same time, can act as a good foundation and can be extended once you are done with the initial testing.

Angular and React are nowadays the default choice for frontend development, but for simple POC and validation purposes, we don't have to use those; this way, we can avoid complexity.

July 16, 2019

Awesome Demos Roundup #6

Amazing code has been crafted this past month: from pixel works to astonishing CSS art, to magnificent fluids and musical window resize fun. Posing like a rockstar or firing lasers, there’s something creative for everyone in this collection of original experiments from around the web.

We hope you enjoy this collection as much as we do!

http://www.datastax.com/documentation/cassandra/2.0/cassandra/gettingStartedCassandraIntro.html
Recommended stable production version — DataStax Enterprise 4.5. (When this article was written).
Compound Partition and Clustered keys: http://www.datastax.com/documentation/cql/3.0/cql/ddl/ddl_compound_keys_c.html
Spring-Data-Cassandra API and reference docs: http://projects.spring.io/spring-data-cassandra/

Download and Installation

1. Tarball Installation

DataStax DB

You need to register yourself with DataStax for the download.
DataStax Enterprise — http://www.datastax.com/download#dl-enterprise.
Create these folders and permissions:

mkdir -p /var/log/cassandrasudo
sudo chmod 777 /var/log/cassandrasudo

mkdir -p /var/lib/cassandra/datasudo
chmod 777 /var/lib/cassandra/datasudo

mkdir -p /var/lib/cassandra/commitlogsudo
chmod 777 /var/lib/cassandra/commitlogsudo

mkdir -p /var/lib/cassandra/saved_cachessudo
chmod 777 /var/lib/cassandra/saved_caches

How to run Cassandra: Go to the DataStax Cassandra installed folder on Mac/Linux/Unix env:

cd /Users/<userName>/dse-<version>/bin
sudo ./dse cassandra -f

//This above command Cassandra DB on your local system. Hit enter to quit from ruining server in background and start CQL query console.
sudo ./cqlsh

Create Schema: