معرفی شرکت ها
airML-0.0.3
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مشاهده بیشتر
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مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
application will allow users to share and dereference ML models.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | airML-0.0.3 |
| نام | airML |
| نسخه کتابخانه | 0.0.3 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Lahiru Oshara Hinguruduwa |
| ایمیل نویسنده | oshara.16@cse.mrt.ac.lk |
| آدرس صفحه اصلی | https://github.com/AKSW/airML |
| آدرس اینترنتی | https://pypi.org/project/airML/ |
| مجوز | Apache |
# airML
Distributed and Decentralized Deployment of ML models at scale
This package is created to distribute KBox, which allow users to share and dereference ML models.
* Download the library [here](https://pypi.org/project/airML/)
* Install using pip
```
pip install airML
```
### Use it in from your terminal
Once you install the airML package, you can directly execute the commands from the terminal. You don't need to open
up a python environment to use the airML package.
Open a terminal and execute KBox commands in python with airML package as below,
````
airML list -o json
````
**Note: Here the `-o json` is an optional parameter. If you want to get the output as a json message, you should use this.
Otherwise, use the command without `-o json`.
````
{
"status_code": 200,
"message": "visited all KNs.",
"results": [
{
"name": "http://purl.org/pcp-on-web/dbpedia",
"format": "kibe",
"version": "c9a618a875c5d46add88de4f00b538962f9359ad"
},
{
"name": "http://purl.org/pcp-on-web/ontology",
"format": "kibe",
"version": "c9a618a875c5d46add88de4f00b538962f9359ad"
},
{
"name": "http://purl.org/pcp-on-web/dataset",
"format": "kibe",
"version": "dd240892384222f91255b0a94fd772c5d540f38b"
}
]
}
````
Like the above command, you can use all other KBox commands with airML package. You can refer to the document
[here](https://github.com/AKSW/KBox#how-can-i-execute-kbox-in-command-line) to get a good understanding of other KBox commands as well.
### Use it in your python application.
##### execute(command)
Description: Execute the provided command in the KBox.jar
Args:
command: 'string', KBox command which should be exectue in KBox.
Returns:
string
If you want to use the airML inside your python application, you can follow these instructions,
1. Import the airML package (`from airML import airML`).
2. Execute any KBox command with execute() function as follows.
```
airML.execute('KBox_Command')
```
**Note: `execute()` method will return a string output which contains the result of the executed command.
Other than the execute command you can use following methods directly,
##### list(kns=False)
Description: List all available models(kns=False) or list all KNS services(kns=True).
Args:
kns:'boolean',defines whether to list only the KNS services or not
Returns:
Results from the KBox as JSON String
##### install(modelID, format=None, version=None):
Description: Install the a model by given modelID
Args:
modelID: 'string', url of the model hosted in a public repository.
format: 'string', format of the model.
version: 'string' specific version to be installed of the the model.
Returns:
Results from the kbox as JSON String
Example:
install("http://nspm.org/art","NSPM","0")
##### getInfo(model):
Description: Gives the information about a specific model.
Args:
model: url of the model.
Return:
Results from the kbox as JSON String
##### locate(modelID, format, version=None):
Description: Returns the local address of the given model.
Args:
modelID: 'string',url of the model to be located.
format: 'string',format of the model.
version: 'string',version of the model.
Returns:
Results from the kbox as JSON String
##### search(pattern, format, version=None):
Description: Search for all model-ids containing a given pattern.
Args:
pattern: 'string',pattern of the url of the models.
format: 'string',format of the model.
version: 'string',version of the model.
Returns:
Search Result from the KBox as a JSON String
### Source URLs
* See the source for this project [here](https://github.com/AKSW/airML)
* Find the KBox source code [here](https://github.com/AKSW/KBox)
نیازمندی
| مقدار | نام |
|---|---|
| >=7.1.2 | click |
نحوه نصب
نصب پکیج whl airML-0.0.3:
pip install airML-0.0.3.whl
نصب پکیج tar.gz airML-0.0.3:
pip install airML-0.0.3.tar.gz