Module `skplumber.tuners.utils`

Expand source code

from typing import NamedTuple


class TuneResult(NamedTuple):
    best_score: float
    """The best validation score the tuner was able to find."""
    n_evals: int
    """The number of evaluations the tuner completed while optimizing."""
    did_improve: bool
    """Whether the tuner improved upon the starting hyperparameter configuration"""

Classes

class TuneResult (best_score: float, n_evals: int, did_improve: bool)

TuneResult(best_score, n_evals, did_improve)

Expand source code

class TuneResult(NamedTuple):
    best_score: float
    """The best validation score the tuner was able to find."""
    n_evals: int
    """The number of evaluations the tuner completed while optimizing."""
    did_improve: bool
    """Whether the tuner improved upon the starting hyperparameter configuration"""

Ancestors

builtins.tuple

Instance variables

var best_score : float: The best validation score the tuner was able to find.
var did_improve : bool: Whether the tuner improved upon the starting hyperparameter configuration
var n_evals : int: The number of evaluations the tuner completed while optimizing.