Dataconnector

class Dataconnector(object)

This namespace provides python functions for connecting training data for AI modeling.

init()

__init__(info, user)

Parameters

• info (dict) : Information about the training data corresponding to the object.

• user (User) : User for making the data connector corresponding to the object.

Fields

• id : The id from the 'info' parameter.

• url : DS2 API url information.

• user : The User object from the 'user' parameter.

• user_token : The user's app code as a token.

repr()

Returns self.id.

__repr__()

Return type

• str

delete()

Deletes a data connector that has corresponding id and token.

delete()

Return type

• None

get_magic_code()

Makes a new ipynb file to the designated file path and writes the needed code for data connector.

get_magic_code(training_method, value_for_predict, file_path="output.ipynb")
# possible inputs fot training_method: "image", "normal_classification", "normal_regression", "object_detection", "time_series", "time_series_regression", "time_series_classification", "recommender", "image_classification"

Parameters

• training_method (str) : Training method for the data connector as a string.

• value_for_predict (str) : User for making the data connector corresponding to the object.

• file_path (str) : Designated file path for saving ipynb file.

Return type

• None