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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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