ml-tracking-api 1.0.3

REST ML-AI API

ml-tracking-api

No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)

This Python package is automatically generated by the OpenAPI Generator project:

• API version: v1
• Package version: 1.0.2
• Build package: org.openapitools.codegen.languages.PythonClientCodegen

Requirements.

Python >= 3.6

Installation & Usage

pip install

If the python package is hosted on a repository, you can install directly using:

pip install git+https:////.git

(you may need to run pip with root permission: sudo pip install git+https:////.git)

Then import the package:

import ml_tracking

Setuptools

Install via Setuptools.

python setup.py install --user

(or sudo python setup.py install to install the package for all users)

Then import the package:

import ml_tracking

Getting Started

Please follow the installation procedure and then run the following:

import time
import ml_tracking
from pprint import pprint
from ml_tracking.api import data_rows_api
from ml_tracking.model.create_data_row_command import CreateDataRowCommand
from ml_tracking.model.data_row_dto_paginated_list import DataRowDtoPaginatedList
from ml_tracking.model.update_data_row_command import UpdateDataRowCommand
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = ml_tracking.Configuration(
    host = "http://localhost"
)



# Enter a context with an instance of the API client
with ml_tracking.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = data_rows_api.DataRowsApi(api_client)
    page_number = 1 # int |  (optional)
page_size = 1 # int |  (optional)

    try:
        api_response = api_instance.api_data_rows_get(page_number=page_number, page_size=page_size)
        pprint(api_response)
    except ml_tracking.ApiException as e:
        print("Exception when calling DataRowsApi->api_data_rows_get: %s\n" % e)

Documentation for API Endpoints

All URIs are relative to http://localhost

Class	Method	HTTP request	Description
DataRowsApi	api_data_rows_get	GET /api/DataRows
DataRowsApi	api_data_rows_id_delete	DELETE /api/DataRows/{id}
DataRowsApi	api_data_rows_id_put	PUT /api/DataRows/{id}
DataRowsApi	api_data_rows_limit_get	GET /api/DataRows/{limit}
DataRowsApi	api_data_rows_post	POST /api/DataRows
HostedServiceApi	api_hosted_service_get	GET /api/HostedService
PyTorchApi	api_py_torch_post	POST /api/PyTorch

Documentation For Models

• CreateDataRowCommand
• DataRowDto
• DataRowDtoPaginatedList
• HostedServiceDto
• UpdateDataRowCommand

Documentation For Authorization

All endpoints do not require authorization.

Author

Notes for Large OpenAPI documents

If the OpenAPI document is large, imports in ml_tracking.apis and ml_tracking.models may fail with a RecursionError indicating the maximum recursion limit has been exceeded. In that case, there are a couple of solutions:

Solution 1: Use specific imports for apis and models like:

• from ml_tracking.api.default_api import DefaultApi
• from ml_tracking.model.pet import Pet

Solution 2: Before importing the package, adjust the maximum recursion limit as shown below:

import sys
sys.setrecursionlimit(1500)
import ml_tracking
from ml_tracking.apis import *
from ml_tracking.models import *