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
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class Dataconnector(object)
init()
repr()
delete()
get_magic_code()