powerAI | 大航杯 “ 智造扬中 ” 电力AI大赛 - 文件介绍： config | SMS library

by dreameng28 Python Version: Current License: No License

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kandi X-RAY | powerAI Summary

powerAI is a Python library typically used in Messaging, SMS applications. powerAI has no bugs, it has no vulnerabilities and it has low support. However powerAI build file is not available. You can download it from GitHub.

文件介绍： config.py 存放了用于后续操作的各种配置信息 data_view.py 是CSV文件的载体 data_split.py 用于划分数据集 feature_extract.py 用于抽取特征 model.py 目前使用XGBoost训练模型并预测16年9月份用电情况. 需要提取的特征：一、日期特征：年月日星期是否法定节假日当天气温当天天气是否节前（1天）是否节后（1天) 该日的经济指数. 二、用户特征：用户1-12月，每天用电量的平均数、中位数及方差用户周一至周日，每天用电量的平均数、中位数及方差用户法定节假日，每天用电量的平均数、中位数及方差用户各种天气下，每天用电量的平均数、中位数及方差.

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Support

powerAI has a low active ecosystem.

It has 17 star(s) with 2 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 403 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of powerAI is current.

Quality

powerAI has 0 bugs and 0 code smells.

Security

powerAI has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

powerAI code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

powerAI does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

powerAI releases are not available. You will need to build from source code and install.

powerAI has no build file. You will be need to create the build yourself to build the component from source.

powerAI saves you 247 person hours of effort in developing the same functionality from scratch.

It has 601 lines of code, 28 functions and 6 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed powerAI and discovered the below as its top functions. This is intended to give you an instant insight into powerAI implemented functionality, and help decide if they suit your requirements.

Return a pandas DataFrame containing one - hot data
Helper function to extract X data from features
Calculate the user power consumption
Convert a time string to a datetime object
Filter DataFrame by date2
Calculate rise rate
Extract a dataframe
Return a DataFrame with one day of the day
Return the difference between two datetimes
Convert date to day
Predict power consumption
Return the percentage of power consumption
Generate predict data
Filter the main dataframe by date and date

Get all kandi verified functions for this library.

powerAI Key Features

No Key Features are available at this moment for powerAI.

powerAI Examples and Code Snippets

No Code Snippets are available at this moment for powerAI.

Community Discussions

Trending Discussions on powerAI

Processing a server response of content-type application/json using node.js

How to add JVM argument `-Dcom.ibm.mq.cfg.useIBMCipherMappings=false` to IBM MQ?

IBM PowerAI Vision | What are the technical description of CLS and BBox losses ?

QUESTION

Processing a server response of content-type application/json using node.js

Asked 2019-Nov-05 at 03:39

I have a server returning the following for a CURL request curl --insecure -i -F files=@test.png https://xxx.xx.xx.xxx/powerai-vision/api/dlapis/b06564c9-7c1e-4642-a5a6-490310563d49.

...

ANSWER

Answered 2019-Nov-05 at 03:39

It looks like you are parsing the JSON the right way.

But after looking at the screenshot you posted on github it seems you have a binary in the body instead of a JSON (an image maybe?). If I was you I would check if you are calling the API sending the correct parameters.

UPDATE:

After seeing the headers it looks that the response is still gzip-compressed, following this should solve your problem: https://gist.github.com/miguelmota/9946206

curl probably does it automatically for you, that's why you see the plain json, or maybe it's because the curl request has an header set that tells the server to not use gzip

UPDATE 2:

try making the request by adding gzip: true, it should do everything for you

Source https://stackoverflow.com/questions/58702439

QUESTION

How to add JVM argument `-Dcom.ibm.mq.cfg.useIBMCipherMappings=false` to IBM MQ?

Asked 2019-Jul-12 at 20:48

Recently I've been migrated to IBM MQ v8 to IBM MQ v9 (v9.1.2.0 specifically). I used SSL to communicate with the broker. So as per Deprecated CipherSpecs document, IBM has deprecated number of cipher suites that came up with MQ 8 and seems all of the cipher suites I've been using, have been deprecated with v9 upward. Therefore, I've implemented new TLS cipher suites to work with my application which runs on a Oracle JVM (version 1.8.0_211). Ever since I'm getting following exception in the application though;

...

ANSWER

Answered 2019-Jul-12 at 20:48

Note: Adding answer to capture information provided to OP in comments that have been removed.

See the following IBM MQ Knowledge center page for a table showing cert type compatibility with MQ v9.1:

IBM MQ 9.1.x/IBM MQ/Securing/Confidentiality of messages/Enabling CipherSpecs

The ciphers with ECDHE_ECDSA require a suite b cert for the queue manager. If using a client cert for your application it will also need to be suite b.

Note that you can use ECDHE_RSA ciphers with non-suite b certs.

The stash file (key.sth for example) is used by the queue manager to access the kdb file. The java equivalent on the client end is you specifying the jks password.

Source https://stackoverflow.com/questions/56321307

QUESTION

IBM PowerAI Vision | What are the technical description of CLS and BBox losses ?

Asked 2019-Feb-07 at 15:29

I have been training an Object detection model on IBM PowerAI Vision. When i train the model i see the following marked losses. i want to know in deep learning terms what are these losses. Since there are many kinds of losses used for object detection. My initial research pointed me towards

Cross entropy = CLS loss
IoU loss = BBox loss

But i am not sure, documentation doesn't say much about it.

...

ANSWER

Answered 2019-Feb-07 at 15:29

CLS = Classification, Localization, Segmentation. Stands for combined error measurement in R-CNN models. Shows how accurate trained model can split original image into smaller regions, select (localize) most interesting of them and classify spotted objects (if there is any).
BBox = bounding box. Measures how precisely trained model can put bbox coordinates on recognized object, compared to test subset.

Both CLS and BBox measured several times while training and the last one specifies resulting error levels.

For details & maths see https://lilianweng.github.io/lil-log/2017/12/31/object-recognition-for-dummies-part-3.html

Source https://stackoverflow.com/questions/51863201

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install powerAI

You can download it from GitHub.
You can use powerAI like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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