Torch

  • PHP
  • Apache
  • MySQL
  • Linux
  • Torch
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About

An AWS product Torch: A scientific computing framework for LuaJIT powered by Miri Infotech. Torch is a suite of business tools that uses data mining, machine learning and artificial intelligence to automate work, save money and help in business grow. On Torch you can manage warehouse and store inventory, provide real time shipping costs to customers, and optimize your sales process. By capturing and analyzing data, Torch learns about your customers, allowing you to provide better online service without investing additional resources.

We are launching a product which will configure and publish Torch , business tools which is embedded pre-configured tool with LAMP and ready-to-launch AMI on Amazon EC2 that contains Torch, Apache, MySQL, Linux, PHP (LAMP).

Torch is the all-in-one artificial intelligence powered business suite. It provided everything you need to build, manage, and grow your company in a single platform. Check out some of the features below.

Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation

User interaction features include:
  • a powerful N-dimensional array
  • lots of routines for indexing, slicing, transposing, ...
  • amazing interface to C, via LuaJIT
  • linear algebra routines
  • neural network, and energy-based models
  • numeric optimization routines
  • Fast and efficient GPU support
  • Embeddable, with ports to iOS, Android and FPGA backends
Torch packages provides:

Tensor Library

  • Tensor defines the all powerful tensor object that provides multi-dimensional numerical arrays with type templating.
  • Mathematical operations that are defined for the tensor object types.
  • Storage defines a simple storage interface that controls the underlying storage for any tensor object.

File I/O Interface Library

  • File is an abstract interface for common file operations.
  • Disk File defines operations on files stored on disk.
  • Memory File defines operations on stored in RAM.
  • Pipe File defines operations for using piped commands.
  • High-Level File operations defines higher-level serialization functions.

Useful Utilities

  • Timer provides functionality for measuring time.
  • Tester is a generic tester framework.
  • CmdLine is a command line argument parsing utility.
  • Random defines a random number generator package with various distributions.
  • Finally useful utility functions are provided for easy handling of torch tensor types and class inheritance.

Usage / Deployment Instruction

Open Putty

Step1: Type <instanceID> at “Host Name Column”

Step2: Open SSh from right side Area

Step3: Click on Auth.

Step4: Click on browse button and select ppk file for Torch .

Step5: Click on Open

Command for Install torch

cd ~/torch; bash install-deps;

  • yum list php*
  • yum install php56-mbstring.x86_64
  • git clone https://github.com/torch/distro.git ~/torch --recursive
  • cd ~/torch
  • ./install.sh
  • TORCH_LUA_VERSION=LUA52 ./install.s
  • luarocks install image
  • wget https://luarocks.org/releases/luarocks-2.4.1.tar.gz
  • tar zxpf luarocks-2.4.1.tar.gz
  • cd luarocks-2.4.1
  • luarocks install image
  • git clone http://luajit.org/git/luajit-2.0.git
  • ls –l
  • cd luajit-2.0/
  • s –l
  • sudo make install
  • luajit -b test.lua test.out

Step5: Installation Complete

SSH using root user is disabled. ec2-user is the sudo user with root privileges with access using the key pair created during launching the instance.

MYSQL can be accessed only with SSH

MYSQL User : root

Password : <instanceID>

Note : You are not supposed to change it.

 

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You can subscribe to Tourch, an AWS Marketplace product and launch an instance from the product's AMI using the Amazon EC2 launch wizard.

To launch an instance from the AWS Marketplace using the launch wizard
  • Open the Amazon EC2 console at https://console.aws.amazon.com/ec2/
  • From the Amazon EC2 dashboard, choose Launch Instance.
    On the Choose an Amazon Machine Image (AMI) page, choose the AWS Marketplace category on the left. Find a suitable AMI by browsing the categories, or using the search functionality. Choose Select to choose your product.
  • A dialog displays an overview of the product you've selected. You can view the pricing information, as well as any other information that the vendor has provided. When you're ready, choose Continue.
  • On the Choose an Instance Type page, select the hardware configuration and size of the instance to launch. When you're done, choose Next: Configure Instance Details.
  • On the next pages of the wizard, you can configure your instance, add storage, and add tags. For more information about the different options you can configure, see Launching an Instance. Choose Next until you reach the Configure Security Group page.
  • The wizard creates a new security group according to the vendor's specifications for the product. The security group may include rules that allow all IP addresses (0.0.0.0/0) access on SSH (port 22) on Linux or RDP (port 3389) on Windows. We recommend that you adjust these rules to allow only a specific address or range of addresses to access your instance over those ports.
  • When you are ready, choose Review and Launch.
  • On the Review Instance Launch page, check the details of the AMI from which you're about to launch the instance, as well as the other configuration details you set up in the wizard. When you're ready, choose Launch to select or create a key pair, and launch your instance.
  • Depending on the product you've subscribed to, the instance may take a few minutes or more to launch. You are first subscribed to the product before your instance can launch. If there are any problems with your credit card details, you will be asked to update your account details. When the launch confirmation page displays
  • 1What is Hadoop?

    The Apache Hadoop software library allows for the distributed processing of large data sets across clusters of computers using a simple programming model. The software library is designed to scale from single servers to thousands of machines; each server using local computation and storage. Instead of relying on hardware to deliver high-availability, the library itself handles failures at the application layer. As a result, the impact of failures is minimized by delivering a highly-available service on top of a cluster of computers.

  • 2Where does Hadoop find applicability in business?

    Hadoop, as a scalable system for parallel data processing, is useful for analyzing large data sets. Examples are search algorithms, market risk analysis, data mining on online retail data, and analytics on user behavior data.

  • 3What is big data security analytics?

    Add the words “information security” (or “cybersecurity” if you like) before the term “data sets” in the definition above. Security and IT operations tools spit out an avalanche of data like logs, events, packets, flow data, asset data, configuration data, and assortment of other things on a daily basis. Security professionals need to be able to access and analyze this data in real-time in order to mitigate risk, detect incidents, and respond to breaches. These tasks have come to the point where they are “difficult to process using on-hand data management tools or traditional (security) data processing applications.”

  • 4Is there an easy way to migrate data from Hadoop into a relational database?

    The Hadoop JDBC driver can be used to pull data out of Hadoop and then use the DataDirect JDBC Driver to bulk load the data into Oracle, DB2, SQL Server, Sybase, and other relational databases.

  • 5Are Intelligent Assistants the only application of AI for customer care, or are there other ways that AI technologies can impact the contact center?

    Front-end use of AI technologies to enable Intelligent Assistants for customer care is certainly key, but there are many other applications. One that I think is particularly interesting is the application of AI to directly support — rather than replace — contact center agents. Technologies such as natural language understanding and speech recognition can be used live during a customer service interaction with a human agent to look up relevant information and make suggestions about how to respond. AI technologies also have an important role in analytics. They can be used to provide an overview of activities within a call center, in addition to providing valuable business insights from customer activity.

  • 6What are the popular machine learning algorithms in use today?

    There are many machine learning algorithms in use today, but the most popular ones are:

    • Decision Trees
    • Naive Bayes Classification
    • Ordinary Least Squares Regression
    • Logistic Regression
    • Support vector machines
    • Ensemble Methods
    • Clustering Algorithms
    • Principal Component Analysis
    • Singular Value Decomposition
    • Independent Component Analysis

     

     

Highlights

  • It provides a powerful N-dimensional array, amazing interface to C, via LuaJIT
  • Neural network, and energy-based models, numeric optimization routines
  • Fast and efficient GPU support, Embeddable, with ports to iOS, Android and FPGA backends

Application Installed