EasyML | Easy Machine Learning is a general-purpose dataflow
kandi X-RAY | EasyML Summary
kandi X-RAY | EasyML Summary
Machine learning algorithms have become the key components in many big data applications. However, the full potential of machine learning is still far from been realized because using machine learning algorithms is hard, especially on distributed platforms such as Hadoop and Spark. The key barriers come from not only the implementation of the algorithms themselves, but also the processing for applying them to real applications which often involve multiple steps and different algorithms. Our platform Easy Machine Learning presents a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks. In the system a learning task is formulated as a directed acyclic graph (DAG) in which each node represents an operation (e.g. a machine learning algorithm), and each edge represents the flow of the data from one node to its descendants. The task can be defined manually or be cloned from existing tasks/templates. After submitting a task to the cloud, each node will be automatically scheduled to execute according to the DAG. Graphical user interface is implemented for making users to create, configure, submit, and monitor a task in a drag-and-drop manner. Advantages of the system include.
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Top functions reviewed by kandi - BETA
- Binds the event listeners
- Reload the search result
- Change category path in English format
- Load data into the dashboard
- Create the main layout
- Find the tree item for a given category
- Get program panel show value
- Find the TreeItem for the given category
- Binds the event handler
- This method initializes the initial graph
- Initialize the popup
- Initialize the search score
- Initialize data search panel
- Binds the file to download
- Initialize the grid
- Upload a program to database
- Insert category
- Edit program
- Binds the programs
- Send email
- Inits the description box
- Init CATESearch
- Initialize the popup
- Initialize the UI
- Initialize the panel
- Binds the dialog
EasyML Key Features
EasyML Examples and Code Snippets
Community Discussions
Trending Discussions on EasyML
QUESTION
I'm having problems getting a function to import correctly and I'm not sure why.
Right now I have a file structure that looks like this:
...ANSWER
Answered 2019-May-13 at 20:24from .processing import *
gets the importable names inside the processing module, but not the name processing
itself.
It's kind of like opening a box, finding five more boxes inside it, putting those five boxes in your pocket, and then throwing the original box away.
The import works when you execute metrics.py
as a standalone module because you're in the utils/
directory, and sys.path
includes the current directory.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install EasyML
You can use EasyML like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the EasyML component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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