ml-tracking-api 1.2.9

REST ML-AI API

ml_tracking-api

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

The ml_tracking package is automatically generated by the OpenAPI Generator project:

• API version: v1
• Package version: 1.2.5
• Build date: 2021-07-31T11:10:57.661Z[GMT]
• Build package: org.openapitools.codegen.languages.PythonClientCodegen

Requirements.

Python >= 3.6

Installation & Usage

This python library package is generated without supporting files like setup.py or requirements files

To be able to use it, you will need these dependencies in your own package that uses this library:

• urllib3 >= 1.25.3
• python-dateutil

Getting Started

In your own code, to use this library to connect and interact with ml_tracking-api, you can 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
MlModelApi	api_ml_model_after_epoch_post	POST /api/MlModel/AfterEpoch
MlModelApi	api_ml_model_iteration_post	POST /api/MlModel/Iteration
MlModelApi	api_ml_model_register_post	POST /api/MlModel/Register
MlModelApi	api_ml_model_save_path_session_id_get	GET /api/MlModel/SavePath/{sessionId}
MlModelApi	api_ml_model_save_script_post	POST /api/MlModel/SaveScript
MlModelApi	api_ml_model_update_status_post	POST /api/MlModel/UpdateStatus

Documentation For Models

• CreateDataRowCommand
• DataRowDto
• DataRowDtoPaginatedList
• EpochUpdateCommand
• HostedServiceDto
• IterationUpdateCommand
• RegisterModelRunCommand
• SaveNotebookCodeCommand
• StatusUpdateCommand
• 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 *