`palma.base.project`#

Module Contents#

Represents a machine learning project with various components

class palma.base.project.Project(project_name: str, problem: str)#

Represents a machine learning project with various components and logging capabilities.

Parameters:

project_name (str): The name of the project.
problem (str): The description of the machine learning problem.: Accepted values: “classification” or “regression”.

Attributes:

base_index (List[int]): List of base indices for the project.
components (dict): Dictionary containing project components.
date (datetime): The date and time when the project was created.
project_id (str): Unique identifier for the project.
is_started (bool): Indicates whether the project has been started.
problem (str): Description of the machine learning problem.
validation_strategy (ValidationStrategy): The validation strategy used in the project.
project_name (str): The name of the project.
study_name (str): The randomly generated study name.
X (pd.DataFrame): The feature data for the project.
y (pd.Series): The target variable for the project.

Methods

add(component: Component) -> None: Adds a component to the project.
start(X: pd.DataFrame, y: pd.Series, splitter, X_test=None, y_test=None, groups=None, kwargs) -> None:**	Starts the project with the specified data and validation strategy.

property validation_strategy: palma.base.splitting_strategy.ValidationStrategy#

start(X: pandas.DataFrame, y: pandas.Series, splitter, X_test=None, y_test=None, groups=None, **kwargs) → None#