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ScoreCardPoints

Transformer to map the the buckets from the skorecard model and maps them to the rescaled points.

Examples:

from skorecard import Skorecard
from skorecard.rescale import ScoreCardPoints
from skorecard.datasets import load_uci_credit_card

X,y = load_uci_credit_card(return_X_y=True)
model = Skorecard(variables = ["LIMIT_BAL", "BILL_AMT1","EDUCATION", "MARRIAGE"])
model.fit(X, y)

scp = ScoreCardPoints(model)
scp.transform(X)

__init__(self, skorecard_model, *, pdo=20, ref_score=100, ref_odds=1) special

Parameters:

Name Type Description Default
skorecard_model

the fitted Skorecard class

required
pdo

number of points necessary to double the odds

20
ref_score

reference score set for the reference odds

100
ref_odds

odds that correspond to the ref_score

1

fit_transform(self, X, y=None, **fit_params) inherited

Fit to data, then transform it.

Fits transformer to X and y with optional parameters fit_params and returns a transformed version of X.

Parameters

X : array-like of shape (n_samples, n_features) Input samples.

y : array-like of shape (n_samples,) or (n_samples, n_outputs), default=None Target values (None for unsupervised transformations).

**fit_params : dict Additional fit parameters.

Returns

X_new : ndarray array of shape (n_samples, n_features_new) Transformed array.

get_params(self, deep=True) inherited

Get parameters for this estimator.

Parameters

deep : bool, default=True If True, will return the parameters for this estimator and contained subobjects that are estimators.

Returns

params : dict Parameter names mapped to their values.

get_scorecard_points(self)

Get the scorecard points.

set_params(self, **params) inherited

Set the parameters of this estimator.

The method works on simple estimators as well as on nested objects (such as :class:~sklearn.pipeline.Pipeline). The latter have parameters of the form <component>__<parameter> so that it's possible to update each component of a nested object.

Parameters

**params : dict Estimator parameters.

Returns

self : estimator instance Estimator instance.

transform(self, X)

Transform the features to the points.


Last update: 2021-11-24
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