TonY | natively run deep learning frameworks on Apache Hadoop
kandi X-RAY | TonY Summary
kandi X-RAY | TonY Summary
TonY is a framework to natively run deep learning jobs on Apache Hadoop. It currently supports TensorFlow, PyTorch, MXNet and Horovod. TonY enables running either single node or distributed training as a Hadoop application. This native connector, together with other TonY features, aims to run machine learning jobs reliably and flexibly. For a quick overview of TonY and comparisons to other frameworks, please see this presentation.
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Top functions reviewed by kandi - BETA
- The main entry point
- Creates a port with python port use
- Creates the task executor
- Initialize configuration
- Main entry point
- Copy files recursively
- Starts the YARN cluster
- Initializes the device information
- Get GPU device information
- Get main arguments
- Get the number of GPU on a container
- Gets memory size
- Main loop
- Creates a path to the driver script
- Index the configuration
- Gets the TensorFlowTask that matches the given priority
- Index a single job
- Initialises the worker options
- Gets the cluster spec
- Move intermediate files to finish
- Renames the jhist files
- Parse the localized file
- Deletes all the year directories before the given date
- Display the job logs
- Runs the application master
- Parses the cluster spec
TonY Key Features
TonY Examples and Code Snippets
Community Discussions
Trending Discussions on TonY
QUESTION
I'm creating a flip card memory game and the front isn't being displayed. Why so and how do I get it to be visible? I've tried overflow: visible
but doesn't seem to effect it.
HTML
...ANSWER
Answered 2021-Jun-14 at 01:36A flip card can be created by creating a parent div
that houses an inner div
. Any flipping transformations can be done on the inner div
in this example named Flip_Card_Inner_Container
. The Back_Face
needs to be transformed about the y-axis by 180˚. The backface-visibility
property will prevent the images from showing through to the other side of the card. Press the Run code snippet button below to see the results:
QUESTION
Given two tables, sales_reps
and sales
:
ANSWER
Answered 2021-Jun-12 at 01:14Postgres has a mode()
function, but it doesn't allow you to choose which rep to choose in the case of ties. For that, you can be more explicit:
QUESTION
I wanted to further elaborate on a question being posed here- Insert and set value with max()+1 problems
Say we start with the same scenario SOLUTION:
...ANSWER
Answered 2021-Jun-11 at 19:23If an auto incremented column is not an option for a reason, try
QUESTION
I am trying to find if a string has valid domain names or not in JavaScript. As per requirement, these are my valid and invalid domain names.
Valid Domain:- api.google.com
- *.api.google.com
- *.api.google.user.com
- tenant.my.centrify-kibble.net
- aws.logs.security.stark.tony.com
- myest.r-project.org
- login-dev.qacloudad.com
- https://google.com
- https://www.google.com
- https://*.google.com
- *.google.com/
- *google.com/
- *google.com
- google.com.
- login-dev.qacloudad.com.
- login-dev.qacloudad.com.*
- .login-dev.qacloudad.com
below code is working as expected for both valid as well as invalid domain except "*google.com". I am still getting valid expression as result for "*google.com"
How can I fix this RegEx?
...ANSWER
Answered 2021-Jun-09 at 21:34You may use the following pattern:
QUESTION
I'm trying to add a delimiter to the following text format (actual file has many more fields).
What I see is the length of each field is given by the length of each underscores blocks ------------
that are below each header.
Input:
...ANSWER
Answered 2021-Jun-08 at 07:19You may use this awk that will with any version of awk
:
QUESTION
I'm trying to write an ElasticSearch query that allows for filtering the results set. The application provides a filter for job titles and also an exclusion filter for the very same job titles. So for example, in the data set bellow, I want to filter for Engineer
, but also exclude Software Engineer
. The problem is that now the query also excludes Principal Software Engineer
and it shoudn't.
Here's the data I'm using:
...ANSWER
Answered 2021-Jun-07 at 13:41You can use match phrase in your 'must_not' clause to exclude only the exact phrase 'Software Engineer'.
QUESTION
For example I have below train set.
...ANSWER
Answered 2021-Jun-04 at 06:19OneHotEncoder
has an hyperparameter for this issue: handle_unknown
handle_unknown{‘error’, ‘ignore’}, default=’error’ Whether to raise an error or ignore if an unknown categorical feature is present during transform (default is to raise). When this parameter is set to ‘ignore’ and an unknown category is encountered during transform, the resulting one-hot encoded columns for this feature will be all zeros. In the inverse transform, an unknown category will be denoted as None.
As you can see, you have two different values for this hyperparameter. If in your test can appear new class (like your example with Danny), I recommend use the value ignore
:
QUESTION
I just wrote a program for college using pandas to structure some unstructured data. I definitely made it harder than it should be, but I ended up finding something interesting.
here is the data I parsed
...ANSWER
Answered 2021-Jun-03 at 11:18The pandas DataFrame is designed for tabular data in which all the entries in any one column have the same type (e.g. integer or string). One row usually represents one instance, sample, or individual. So the natural way to parse your data into a DataFrame is to have two rows, one for each institution, and define the columns as what you have called index
(perhaps with the address split into several columns), e.g. business type, street, city, state, post code, phone number, etc.
So there would be one row per institution, and the index would be used to assign a unique identifier to each of them. That's why it's desirable for the index to contain no duplicates.
QUESTION
I have a mysql table that looks something like this:
...ANSWER
Answered 2021-May-30 at 07:10 SELECT C.costumer,REF.NAME,REF2.NAME
FROM OTHER_TABLE AS C
JOIN TABLE_SOMETHING_LIKE_THIS AS REF ON C.BUY1=REF.ID
JOIN TABLE_SOMETHING_LIKE_THIS AS REF2 ON C.BUY2=REF2.ID
QUESTION
I have a data frame that looks similar to this:
...ANSWER
Answered 2021-May-26 at 12:20you can create a new dataframe then do a left merge.
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