from enum import Enum
[docs]class ModelFamily(Enum):
"""Enum for family of machine learning models."""
K_NEIGHBORS = "k_neighbors"
"""K Nearest Neighbors model family."""
RANDOM_FOREST = "random_forest"
"""Random Forest model family."""
SVM = "svm"
"""SVM model family."""
XGBOOST = "xgboost"
"""XGBoost model family."""
LIGHTGBM = "lightgbm"
"""LightGBM model family."""
LINEAR_MODEL = "linear_model"
"""Linear model family."""
CATBOOST = "catboost"
"""CatBoost model family."""
EXTRA_TREES = "extra_trees"
"""Extra Trees model family."""
ENSEMBLE = "ensemble"
"""Ensemble model family."""
DECISION_TREE = "decision_tree"
"""Decision Tree model family."""
ARIMA = "arima"
"""ARIMA model family."""
BASELINE = "baseline"
"""Baseline model family."""
PROPHET = "prophet"
"""Prophet model family."""
NONE = "none"
"""None"""
def __str__(self):
model_family_dict = {
ModelFamily.K_NEIGHBORS.name: "K Nearest Neighbors",
ModelFamily.RANDOM_FOREST.name: "Random Forest",
ModelFamily.SVM.name: "SVM",
ModelFamily.XGBOOST.name: "XGBoost",
ModelFamily.LIGHTGBM.name: "LightGBM",
ModelFamily.LINEAR_MODEL.name: "Linear",
ModelFamily.CATBOOST.name: "CatBoost",
ModelFamily.EXTRA_TREES.name: "Extra Trees",
ModelFamily.DECISION_TREE.name: "Decision Tree",
ModelFamily.BASELINE.name: "Baseline",
ModelFamily.ENSEMBLE.name: "Ensemble",
ModelFamily.ARIMA.name: "ARIMA",
ModelFamily.PROPHET.name: "Prophet",
ModelFamily.NONE.name: "None",
}
return model_family_dict[self.name]
def __repr__(self):
return "ModelFamily." + self.name
[docs] def is_tree_estimator(self):
"""Checks whether the estimator's model family uses trees."""
tree_estimators = {
self.CATBOOST,
self.EXTRA_TREES,
self.RANDOM_FOREST,
self.DECISION_TREE,
self.XGBOOST,
self.LIGHTGBM,
}
return self in tree_estimators