Last updated
Last updated
This namespace represents a project in DS2.ai's desktop application, specifically CLICK AI, which is for AI modeling.
info (str) : Information about the current Click AI project corresponding to the object
user (str) : User for creating, modifying, deleting the project
id : Project ID.
url : DS2 API url information.
user : User information.
user_token : User token information.
status
dataconnectorList
models
jupyter_servers
Returns the Click AI's project ID as a printable format.
str
Reads and refresh Project id, and check whether the project is ready to use.
class CLICKAI project
Deletes the Project object that has corresponding project id and token.
None
You can find the corresponding project id deleted.
Starts AI training according to the corresponding training method, value for prediction, and training option.
training_method (str) : One of the suitable training methods with your data from 'cycle_gan', 'image', 'normal_classification', 'normal_regression', 'object_detection', 'time_series', 'time_series_regression', 'time_series_classification', 'recommender' or 'image_classification'.
value_for_predict (str): When the format of data_file is .csv, result column name. (if has_label_data is "True", input the column name the data file has, if "False", enter an name you want as the result column name) When the format of data_file is not .csv, leave as default value.
option (str): One of the training options, 'accuracy' for higher accuracy, or 'speed' for faster training speed.
Project object
The project has been started.
Stops the ongoing AI training.
Project object
Makes a new ipynb file to the designated file path and writes the needed code for AI modeling.
training_method (str): Training method 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.
None