Project model

Attributes:

• id (str): Project ID.
• title (str): Project title.
• description (str): Project description.
• status (str): Project status.
• archived (bool): Project archived status.
• created_at (datetime): Project creation date.
• updated_at (datetime): Project last update date.
• experiments (List[Experiment]): List of experiments in the project.
• pinned (bool): Project pinned status.

UpdateProject model

Attributes:

• title (str): Project title.
• description (str): Project description.
• status (str): Project status.
• archived (bool): Project archived status.
• updated_at (datetime): Project last update date.
• pinned (bool): Project pinned status.

DisplayProject model

Attributes:

• id (str): Project ID.
• title (str): Project title.
• description (str): Project description.
• status (str): Project status.
• archived (bool): Project archived status.
• created_at (datetime): Project creation date.
• updated_at (datetime): Project last update date.
• experiments (List[str]): List of experiments in the project.

Experiment model

Attributes:

• id (PydanticObjectId): Experiment ID.
• project_id (PydanticObjectId): Project ID.
• name (str): Experiment title.
• description (Optional[str]): Experiment description.
• created_at (datetime): Experiment creation date.
• updated_at (Optional[datetime]): Experiment last update date.
• iterations (List[Iteration]): Experiment iterations.

UpdateExperiment model

Attributes:

• name (Optional[str]): Experiment title.
• description (Optional[str]): Experiment description.
• updated_at (datetime): Experiment last update date.

Iteration model

Attributes:

• id (PydanticObjectId): Iteration id.
• experiment_id (PydanticObjectId): Experiment id.
• project_id (PydanticObjectId): Project id.
• experiment_name (str): Experiment name.
• project_title (str): Project title.
• user_name (str): User name.
• iteration_name (str): Iteration title.
• created_at (datetime): Iteration creation date.
• metrics (Optional[dict]): Iteration metrics.
• parameters (Optional[dict]): Iteration parameters.
• path_to_model (Optional[str]): Path to model.
• dataset (Optional[DatasetInIteration]): Dataset.
• interactive_charts (Optional[List[InteractiveChart]]): Interactive charts list.
• image_charts (Optional[List[ImageChart]]): Image charts list.
• assigned_monitored_model_id (Optional[PydanticObjectId]): Assigned monitored model id.
• assigned_monitored_model_name (Optional[str]): Assigned monitored model name.

UpdateIteration model

Attributes:

• iteration_name (str): Iteration title.
• assigned_monitored_model_id (Optional[PydanticObjectId]): Assigned monitored model id.
• assigned_monitored_model_name (Optional[str]): Assigned monitored model name.

ImageChart model

Attributes:

• id (PydanticObjectId): Chart id.
• name (str): Chart name.
• encoded_image (str): base64 encoded chart image.
• comparable (Optional[bool]): Is chart comparable.

InteractiveChart model

Attributes:

• id (PydanticObjectId): Chart id.
• chart_type (str): Chart type.
• name (str): Logical name of chart.
• chart_title (str): Chart title.
• chart_subtitle (Optional[str]): Chart subtitle.
• x_data(List[float]): X data.
• y_data (List[float]): Y data.
• y_data_names (Optional[List[str]]): Y data names.
• x_label (Optional[str]): X label.
• y_label (Optional[str]): Y label.
• x_min (Optional[float]): X axis minimum value.
• x_max (Optional[float]): X axis maximum value.
• y_min (Optional[float]): Y axis minimum value.
• y_max (Optional[float]): Y axis maximum value.
• comparable (Optional[bool]): Is comparable.

Dataset model

Attributes:

• id dataset_name (str): Dataset name
• path_to_dataset (str): Path to dataset
• dataset_description (str): Dataset description
• tags (str): Dataset tags
• archived (bool): Dataset status
• created_at (datetime): Date and time of dataset creation
• updated_at (datetime): Date and time of dataset update
• version (str): Dataset version
• linked_iterations (Dict): Linked iterations (key - iteration id, value - (project_id, experiment_id)
• pinned (bool): Dataset pinned status

DatasetInIteration model

Attributes:

• id (PydanticObjectId): Dataset id.
• name (Optional[str]): Dataset name.
• version (Optional[str]): Dataset version.

UpdateDataset model

Attributes:

• dataset_name (str): Dataset name
• path_to_dataset (str): Path to dataset
• dataset_description (str): Dataset description
• tags (str): Dataset tags
• archived (bool): Dataset status
• version (str): Dataset version
• updated_at (datetime): Date and time of dataset update
• pinned (bool): Dataset pinned status

MonitoredModel model

Attributes:

• id (PydanticObjectId): Monitored model id.
• model_name (str): Monitored model name.
• model_description (str): Monitored model description.
• model_status (str): Monitored model status.
• iteration (Iteration): Related Iteration.
• pinned (bool): Monitored model pinned status.
• predictions_data (list[dict]): Predictions data list of rows as dicts.
• ml_model (str): ML model
• interactive_charts (list[MonitoredModelInteractiveChart]): Interactive charts
• interactive_charts_existed (set[tuple[str, Optional[str], Optional[str]]]): Interactive charts existed pairs of columns
• created_at (datetime): Monitored model creation date.
• updated_at (datetime): Monitored model last update date.

UpdateMonitoredModel model

Attributes:

• model_name (str): Monitored model name.
• model_description (str): Monitored model description.
• model_status (str): Monitored model status.
• iteration (Iteration): Related Iteration.
• pinned (bool): Monitored model pinned status.
• predictions_data (list[dict]): Predictions data list of rows as dicts.
• updated_at (datetime): Monitored model last update date.

PredictionData model

Attributes:

• prediction_date (datetime): Prediction date.
• input_data (dict): Input data.
• prediction (Union[float, int]): Prediction.
• actual (Union[float, int]): Actual.

UpdatePredictionData model

Attributes:

• actual (Union[float, int]): actual prediction value.

MonitoredModelInteractiveChart model

Attributes:

• id (PydanticObjectId): Interactive chart id.
• monitored_model_id (PydanticObjectId): Monitored model id.
• chart_type (str): Chart type.
• first_column (str): First column name.
• second_column (Optional[str]): Second column name.
• bin_method (Optional[str]): Bin method.
• bin_number (Optional[int]): Bin number.