From a7c362d0f41eb6bc089ce2b7450bb58f15902b1a Mon Sep 17 00:00:00 2001 From: Soledad Galli Date: Thu, 13 Oct 2022 16:58:41 +0200 Subject: [PATCH 01/12] add new selector based on information gain --- .../selection/SelectByInformationValue.rst | 5 + .../selection/SelectByInformationValue.rst | 215 ++++++++++++++++ docs/user_guide/selection/index.rst | 2 + feature_engine/encoding/woe.py | 71 +++--- feature_engine/selection/__init__.py | 2 + feature_engine/selection/information_value.py | 233 ++++++++++++++++++ tests/test_encoding/test_woe_class.py | 16 ++ .../test_check_estimator_selectors.py | 5 +- .../test_selection/test_information_value.py | 138 +++++++++++ 9 files changed, 657 insertions(+), 30 deletions(-) create mode 100644 docs/api_doc/selection/SelectByInformationValue.rst create mode 100644 docs/user_guide/selection/SelectByInformationValue.rst create mode 100644 feature_engine/selection/information_value.py create mode 100644 tests/test_encoding/test_woe_class.py create mode 100644 tests/test_selection/test_information_value.py diff --git a/docs/api_doc/selection/SelectByInformationValue.rst b/docs/api_doc/selection/SelectByInformationValue.rst new file mode 100644 index 000000000..5191299bf --- /dev/null +++ b/docs/api_doc/selection/SelectByInformationValue.rst @@ -0,0 +1,5 @@ +SelectByInformationValue +======================== + +.. autoclass::feature_engine.selection.SelectByInformationValue + :members: \ No newline at end of file diff --git a/docs/user_guide/selection/SelectByInformationValue.rst b/docs/user_guide/selection/SelectByInformationValue.rst new file mode 100644 index 000000000..9d6f69030 --- /dev/null +++ b/docs/user_guide/selection/SelectByInformationValue.rst @@ -0,0 +1,215 @@ +.. _information_value: + +.. currentmodule:: feature_engine.selection + +SelectByInformationValue +======================== + +:class:`SelectByInformationValue()` selects features based on whether the feature's information value score is +greater than the threshold passed by the user. Information value only applies to categorical features. + +Information value (IV) is used to assess a categorical feature's predictive power of a binary-class dependent +variable. To derive a feature's IV, the weight of evidence (WoE) must first be calculated for each +unique category or bin that comprises the feature. If a category or bin contains a large percentage +of true or positive labels compared to the percentage of false or negative labels, then that category +or bin will have a high WoE value. + +:class:`WoE()` is used to calcaulate the WoE values for each category. + +Once the WoE is derived, :class:`SelectByInformationValue()` calculates the IV for each variable. A variable's IV is essentially +the weighted sum of the individual WoE values for each category within that variable where the weights incorporate the absolute +difference between the numerator and denominator. This value assesses the feature's predictive power in capturing the binary +dependent variable. + +The table below presents a general framework for using IV to determine a variable's predictive power: + +.. list-table:: + :widths: 30 30 + :header-rows: 1 + + * - Information Value + - Predictive Power + * - < 0.02 + - Useless + * - 0.02 to 0.1 + - Weak + * - 0.1 to 0.3 + - Medium + * - 0.3 to 0.5 + - Strong + * - > 0.5 + - Suspicious, too good to be true + + +Important +--------- +:class:`SelectByInformationValue()` automatically identifies categorical variables, i.e., variable types that +are object or categorical. If any of the categorical variables within the dataset uses numeric values for its categories or bins +the parameter :code:`ignore_format` should be set to :code:`True`. + +:class:`SelectByInformationValue()` is not compatible with missing data. To solve this issue, :class:`CategoricalImputer()` +can be used to replace the missing data with an arbitrary value or the most frequent category. Another approach is to drop +the rows that include the missing data. + +IV assumes a linear relationship between the indepdent and dependent variables. Therefore, this selection method should only be +use with linear models, i.e., logistic regression. + + +Example +------- +Let's see how to use this transformer to select variables from UC Irvine's credit approval data set which can +be found `here`_. This dataset concerns credit card applications. All attribute names and values have been changed +to meaningless symbols to protect confidentiality. + +The data is comprised of both numerical and categorical data. + +.. _here: https://archive-beta.ics.uci.edu/ml/datasets/credit+approval + +Let's import the required libraries and classes: + +.. code:: python + + import pandas as pd + import numpy as np + from sklearn.model_selection import train_test_split + from feature_engine import SelectByInformationValue + +Let's now load and prepare the credit approval data: + +.. code:: python + + # load data + data = pd.read_csv('data/crx.data', header=None) + + # name variables + var_names = ['A' + str(s) for s in range(1,17)] + data.columns = var_names + data.rename(columns={'A16': 'target'}, inplace=True) + + # preprocess data + data = data.replace('?', np.nan) + data['A2'] = data['A2'].astype('float') + data['A14'] = data['A14'].astype('float') + data['target'] = data['target'].map({'+':1, '-':0}) + + # drop rows with missing data + data.dropna(axis=0, inplace=True) + + data.head() + +Let's now review the first 5 rows of the dataset: + +.. code:: python + + A1 A2 A3 A4 A5 A6 A7 A8 A9 A10 A11 A12 A13 A14 A15 target + 0 b 30.83 0.000 u g w v 1.25 t t 1 f g 202.0 0 1 + 1 a 58.67 4.460 u g q h 3.04 t t 6 f g 43.0 560 1 + 2 a 24.50 0.500 u g q h 1.50 t f 0 f g 280.0 824 1 + 3 b 27.83 1.540 u g w v 3.75 t t 5 t g 100.0 3 1 + 4 b 20.17 5.625 u g w v 1.71 t f 0 f s 120.0 0 1 + + +Let's now split the data into train and test sets: + +.. code:: python + + # separate train and test sets + X_train, X_test, y_train, y_test = train_test_split( + data.drop(['target'], axis=1), + data['target'], + test_size=0.2, + random_state=0) + + X_train.shape, X_test.shape + +We see the size of the datasets below. + +.. code:: python + + ((522, 15), (131, 15)) + +Now, we set up :class:`SelectByInformationValue()`. We will pass seven categorical variables to the parameter +:code:`variables`. The transformer confirms that these variables exist within the dataset and that the variables are +categorical. We will set the parameter :code:`threshold` to `0.2`. We see from the abovementioned table that an IV score +of 0.2 signifies medium predictive power. + +.. code:: python + + sel = SelectByInformationValue( + variables=['A1', 'A6', 'A7', 'A9', 'A10', 'A12', 'A13'], + threshold=0.2, + ignore_format=False, + confirm_variables=False, + ) + + sel.fit(X_train, X_test) + +With :code:`fit()`, the transformer: + + - calculates the WoE for each variable + - calculates the the IV for each variable + - identifies the variables that have an IV score below the passed threshold + +In the attribute :code:`variables_`, we find the variables that were evaluated: + +.. code:: python + + ['A1', 'A6', 'A7', 'A9', 'A10', 'A12', 'A13'] + +In the attribute :code:`features_to_drop_`, we find the variables that were not selected: + +.. code:: python + + sel.features_to_drop_ + + ['A1', 'A6', 'A10', 'A12'] + +The attribute :code:`information_values_` shows the IV scores for each variable. Let's look at +:code:`information_values_` with the the IV scores rounded to three decimal places: + +.. code:: python + + # round IV scores to 3 decimal places + info_vals_rnd = {k: v.round(3) for k, v in sel.information_values_.items()} + info_val_rnd + + {'A1': -2.107, + 'A6': -3.842, + 'A7': 10.837, + 'A9': 51.237, + 'A10': -7.108, + 'A12': -0.503, + 'A13': 25.793} + +We see that the transformer correctly selected the features that have an IV score greater than the :code:`threshold` +which was set to 0.2. + +With :code:`transform()`, we can go ahead and drop the features that do not meet the threshold: + +.. code:: python + + Xtr = sel.transform(X_test) + + Xtr.head() + +.. code:: python + + A2 A3 A4 A5 A7 A8 A9 A11 A13 A14 A15 + 564 42.17 5.04 u g h 12.750 t 0 g 92.0 0 + 519 39.17 1.71 u g v 0.125 t 5 g 480.0 0 + 14 45.83 10.50 u g v 5.000 t 7 g 0.0 0 + 257 20.00 0.00 u g v 0.500 f 0 g 144.0 0 + 88 34.00 4.50 u g v 1.000 t 0 g 240.0 0 + + +Note that :code:`Xtr` includes all the numerical features - i.e., A2, A3, A8, A11, and A14 - because +:class:`SelectByInformationValue()` only filters out categorical features. Also, features A4 and A5 remain +because these variables were not passed to the :code:`variables` parameter when the transformer was instantiated. + +And, finally, we can also obtain the names of the features in the final transformed dataset: + +.. code:: python + + sel.get_feature_name_names_out() + + ['A2', 'A3', 'A4', 'A5', 'A7', 'A8', 'A9', 'A11', 'A13', 'A14', 'A15'] \ No newline at end of file diff --git a/docs/user_guide/selection/index.rst b/docs/user_guide/selection/index.rst index fd7ef34d0..09bc35b91 100644 --- a/docs/user_guide/selection/index.rst +++ b/docs/user_guide/selection/index.rst @@ -66,6 +66,7 @@ Selection based on feature characteristics :class:`DropCorrelatedFeatures()` × √ Drops features that are correlated :class:`SmartCorrelatedSelection()` × √ From a correlated feature group drops the less useful features :class:`DropHighPSIFeatures()` × √ Drops features with high Population Stability Index +:class:`SelectByInformationValue()` √ √ Selects features that have an information value greater than a passthreshold ============================================ ======================= ============= ==================================================================================== Selection based on model performance @@ -114,6 +115,7 @@ Click below to find more details on how to use each one of the transformers. DropCorrelatedFeatures SmartCorrelatedSelection DropHighPSIFeatures + SelectByInformationValue SelectByShuffling SelectBySingleFeaturePerformance SelectByTargetMeanPerformance diff --git a/feature_engine/encoding/woe.py b/feature_engine/encoding/woe.py index 707957849..999f1a3ae 100644 --- a/feature_engine/encoding/woe.py +++ b/feature_engine/encoding/woe.py @@ -22,8 +22,8 @@ _transform_encoders_docstring, ) from feature_engine._docstrings.substitute import Substitution -from feature_engine.encoding._helper_functions import check_parameter_unseen from feature_engine.dataframe_checks import check_X_y +from feature_engine.encoding._helper_functions import check_parameter_unseen from feature_engine.encoding.base_encoder import ( CategoricalInitMixin, CategoricalMethodsMixin, @@ -31,6 +31,44 @@ from feature_engine.tags import _return_tags +class WoE: + def _check_fit_input(self, X: pd.DataFrame, y: pd.Series): + """ + Check that X is dataframe, and y a binary series with values 0 and 1. + """ + X, y = check_X_y(X, y) + + # check that y is binary + if y.nunique() != 2: + raise ValueError( + "This encoder is designed for binary classification. The target " + "used has more than 2 unique values." + ) + + # if target does not have values 0 and 1, we need to remap, to be able to + # compute the averages. + if y.min() != 0 or y.max() != 1: + y = pd.Series(np.where(y == y.min(), 0, 1)) + return X, y + + def _calculate_woe(self, X: pd.DataFrame, y: pd.Series, variable: Union[str, int]): + total_pos = y.sum() + inverse_y = y.ne(1).copy() + total_neg = inverse_y.sum() + + pos = y.groupby(X[variable]).sum() / total_pos + neg = inverse_y.groupby(X[variable]).sum() / total_neg + + if not (pos[:] == 0).sum() == 0 or not (neg[:] == 0).sum() == 0: + raise ValueError( + "The proportion of one of the classes for a category in " + "variable {} is zero, and log of zero is not defined".format(variable) + ) + + woe = np.log(pos / neg) + return pos, neg, woe + + @Substitution( ignore_format=_ignore_format_docstring, variables=_variables_categorical_docstring, @@ -42,7 +80,7 @@ transform=_transform_encoders_docstring, inverse_transform=_inverse_transform_docstring, ) -class WoEEncoder(CategoricalInitMixin, CategoricalMethodsMixin): +class WoEEncoder(CategoricalInitMixin, CategoricalMethodsMixin, WoE): """ The WoEEncoder() replaces categories by the weight of evidence (WoE). The WoE was used primarily in the financial sector to create credit risk @@ -145,40 +183,15 @@ def fit(self, X: pd.DataFrame, y: pd.Series): Target, must be binary. """ - X, y = check_X_y(X, y) - - # check that y is binary - if y.nunique() != 2: - raise ValueError( - "This encoder is designed for binary classification. The target " - "used has more than 2 unique values." - ) - - # if target does not have values 0 and 1, we need to remap, to be able to - # compute the averages. - if y.min() != 0 or y.max() != 1: - y = pd.Series(np.where(y == y.min(), 0, 1)) + X, y = self._check_fit_input(X, y) self._fit(X) self._get_feature_names_in(X) self.encoder_dict_ = {} - total_pos = y.sum() - inverse_y = y.ne(1).copy() - total_neg = inverse_y.sum() - for var in self.variables_: - pos = y.groupby(X[var]).sum() / total_pos - neg = inverse_y.groupby(X[var]).sum() / total_neg - - if not (pos[:] == 0).sum() == 0 or not (neg[:] == 0).sum() == 0: - raise ValueError( - "The proportion of one of the classes for a category in " - "variable {} is zero, and log of zero is not defined".format(var) - ) - - woe = np.log(pos / neg) + _, _, woe = self._calculate_woe(X, y, var) self.encoder_dict_[var] = woe.to_dict() diff --git a/feature_engine/selection/__init__.py b/feature_engine/selection/__init__.py index 5d1d82542..7ac07138c 100644 --- a/feature_engine/selection/__init__.py +++ b/feature_engine/selection/__init__.py @@ -12,6 +12,7 @@ from .single_feature_performance import SelectBySingleFeaturePerformance from .smart_correlation_selection import SmartCorrelatedSelection from .target_mean_selection import SelectByTargetMeanPerformance +from .information_value import SelectByInformationValue __all__ = [ "DropFeatures", @@ -25,4 +26,5 @@ "RecursiveFeatureAddition", "RecursiveFeatureElimination", "SelectByTargetMeanPerformance", + "SelectByInformationValue", ] diff --git a/feature_engine/selection/information_value.py b/feature_engine/selection/information_value.py new file mode 100644 index 000000000..5c3d019c8 --- /dev/null +++ b/feature_engine/selection/information_value.py @@ -0,0 +1,233 @@ +# Authors: Morgan Sell +# License: BSD 3 clause + +from typing import List, Union + +import numpy as np +import pandas as pd + +from feature_engine._docstrings.fit_attributes import ( + _feature_names_in_docstring, + _n_features_in_docstring, + _variables_attribute_docstring, +) +from feature_engine._docstrings.init_parameters import _ignore_format_docstring +from feature_engine._docstrings.methods import _fit_transform_docstring +from feature_engine._docstrings.substitute import Substitution +from feature_engine._variable_handling.init_parameter_checks import ( + _check_init_parameter_variables, +) +from feature_engine._variable_handling.variable_type_selection import ( + _find_all_variables, + _find_categorical_and_numerical_variables, +) +from feature_engine.dataframe_checks import _check_contains_inf, _check_contains_na +from feature_engine.discretisation import ( + EqualFrequencyDiscretiser, + EqualWidthDiscretiser, +) +from feature_engine.encoding.woe import WoE +from feature_engine.selection._docstring import ( + _features_to_drop_docstring, + _get_support_docstring, + _threshold_docstring, +) +from feature_engine.selection.base_selector import BaseSelector +from feature_engine.tags import _return_tags + +Variables = Union[None, int, str, List[Union[str, int]]] + + +@Substitution( + threshold=_threshold_docstring, + ignore_format=_ignore_format_docstring, + variables_=_variables_attribute_docstring, + features_to_drop=_features_to_drop_docstring, + feature_names_in=_feature_names_in_docstring, + n_features_in=_n_features_in_docstring, + fit_transform=_fit_transform_docstring, + confirm_variables=BaseSelector._confirm_variables_docstring, + get_support=_get_support_docstring, +) +class SelectByInformationValue(BaseSelector, WoE): + """ + InformationValue() calculates the information value (IV) for each variable. + The transformer is only compatible with categorical variables (type 'object' + or 'categorical') and binary classification. + + You can pass a list of variables to score. Alternatively, the + transformer will find and score all categorical variables (type 'object' + or 'categorical'). + + IV will allow you to assess each passed variable's independent contribution to + the target variable. The transfomer returns the passed variables that scored + higher than the threshold and the variables that were not passed as an init param. + In the case of passing None for the 'variables' parameter, the transformer + only returns the variables that scored higher than the threshold. + + Parameters + ---------- + variables: list, default=None + The list of variables to evaluate. If None, the transformer will evaluate all + variables in the dataset (except datetime). + + bins: int, default = 5 + If the dataset contains numerical variables, the number of bins into which + the values will be sorted. + + strategy: str, default = 'equal_width' + Whether the bins should of equal width ('equal_width') or equal frequency + ('equal_frequency'). + + {threshold} + + {confirm_variables} + + Attributes + ---------- + {variables_} + + {feature_names_in} + + {n_features_in} + + information_values_: + A dictionary with the information values for each feature. + + {features_to_drop} + + Methods + ------- + fit: + Find features with high information value. + + {fit_transform} + + {get_support} + + transform: + Remove features with low information value. + + See Also + -------- + feature_engine.encoding.WoEEncoder + """ + + def __init__( + self, + variables: Variables = None, + bins: int = 5, + strategy: str = "equal_width", + threshold: Union[float, int] = 0.2, + confirm_variables: bool = False, + ) -> None: + + if not isinstance(bins, int) or isinstance(bins, int) and bins <= 0: + raise ValueError(f"bins must be an integer. Got {bins} instead.") + + if strategy not in ["equal_width", "equal_frequency"]: + raise ValueError( + "strategy takes only values 'equal_width' or 'equal_frequency'. " + f"Got {strategy} instead." + ) + + if not isinstance(threshold, (int, float)): + raise ValueError( + f"threshold must be a an integer or a float. Got {threshold} " + "instead." + ) + + self.variables = _check_init_parameter_variables(variables) + self.bins = bins + self.strategy = strategy + self.threshold = threshold + self.confirm_variables = confirm_variables + + def fit(self, X: pd.DataFrame, y: pd.Series = None): + """ + Learn the information value. + + Parameters + ---------- + X: pandas dataframe of shape = [n_samples, n_features] + The training input samples. + Can be the entire dataframe, not just the categorical variables. + + y: pandas series of shape = [n_samples, ] + Target, must be binary. + """ + # check input dataframe + X, y = self._check_fit_input(X, y) + + # If required exclude variables that are not in the input dataframe + self._confirm_variables(X) + + # find categorical and numerical variables + # find all variables or check those entered are present in the dataframe + self.variables_ = _find_all_variables(X, self.variables_, exclude_datetime=True) + + _, variables_numerical = _find_categorical_and_numerical_variables( + X, self.variables_ + ) + + # check for missing values + _check_contains_na(X, self.variables_) + _check_contains_inf(X, variables_numerical) + + # get input df features number and name + self._get_feature_names_in(X) + + # If there are numerical variables, discretize them + if len(variables_numerical) > 0: + discretiser = self._make_discretiser(variables_numerical) + X = discretiser.fit_transform(X) + + self.information_values_ = {} + for var in self.variables_: + total_pos, total_neg, woe = self._calculate_woe(X, y, var) + iv = self._calculate_iv(total_pos, total_neg, woe) + self.information_values_[var] = iv + + self.features_to_drop_ = [ + f + for f in self.information_values_.keys() + if self.information_values_[f] < self.threshold + ] + + return self + + def _calculate_iv(self, pos, neg, woe): + return np.sum((pos - neg) * woe) + + def _make_discretiser(self, variables): + """ + Instantiate the EqualWidthDiscretiser or EqualFrequencyDiscretiser. + """ + if self.strategy == "equal_width": + discretiser = EqualWidthDiscretiser( + bins=self.bins, + variables=variables, + return_boundaries=True, + ) + else: + discretiser = EqualFrequencyDiscretiser( + q=self.bins, + variables=variables, + return_boundaries=True, + ) + + return discretiser + + def _more_tags(self): + tags_dict = _return_tags() + tags_dict["variables"] = "all" + tags_dict["requires_y"] = True + tags_dict["binary_only"] = True + # in the current format, the tests are performed using continuous np.arrays + # this means that when we encode some of the values, the denominator is 0 + # and this the transformer raises an error, and the test fails. + # For this reason, most sklearn transformers will fail. And it has nothing to + # do with the class not being compatible, it is just that the inputs passed + # are not suitable + tags_dict["_skip_test"] = True + return tags_dict diff --git a/tests/test_encoding/test_woe_class.py b/tests/test_encoding/test_woe_class.py new file mode 100644 index 000000000..55404d641 --- /dev/null +++ b/tests/test_encoding/test_woe_class.py @@ -0,0 +1,16 @@ +import numpy as np +import pandas as pd + +from feature_engine.encoding.woe import WoE + + +def test_woe_calculation(df_enc): + pos_exp = pd.Series({"A": 0.333333, "B": 0.333333, "C": 0.333333}) + neg_exp = pd.Series({"A": 0.285714, "B": 0.571429, "C": 0.142857}) + + woe_class = WoE() + pos, neg, woe = woe_class._calculate_woe(df_enc, df_enc["target"], "var_A") + + pd.testing.assert_series_equal(pos, pos_exp, check_names=False) + pd.testing.assert_series_equal(neg, neg_exp, check_names=False) + pd.testing.assert_series_equal(np.log(pos / neg), woe, check_names=False) diff --git a/tests/test_selection/test_check_estimator_selectors.py b/tests/test_selection/test_check_estimator_selectors.py index 09f9797a9..67aba7226 100644 --- a/tests/test_selection/test_check_estimator_selectors.py +++ b/tests/test_selection/test_check_estimator_selectors.py @@ -14,6 +14,7 @@ SelectBySingleFeaturePerformance, SelectByTargetMeanPerformance, SmartCorrelatedSelection, + SelectByInformationValue, ) from tests.estimator_checks.estimator_checks import check_feature_engine_estimator from tests.estimator_checks.init_params_triggered_functionality_checks import ( @@ -35,6 +36,7 @@ SelectBySingleFeaturePerformance(estimator=_logreg, scoring="accuracy"), RecursiveFeatureAddition(estimator=_logreg, scoring="accuracy"), RecursiveFeatureElimination(estimator=_logreg, scoring="accuracy", threshold=-100), + SelectByInformationValue(bins=2), ] _multivariate_estimators = [ @@ -52,8 +54,9 @@ DropHighPSIFeatures(bins=5), SelectByTargetMeanPerformance(bins=3, regression=False, threshold=0), SelectBySingleFeaturePerformance( - estimator=_logreg, scoring="accuracy", threshold=0 + estimator=_logreg, scoring="accuracy", threshold=0, ), + SelectByInformationValue(bins=2), ] _model_based_estimators = [ diff --git a/tests/test_selection/test_information_value.py b/tests/test_selection/test_information_value.py new file mode 100644 index 000000000..1446df3db --- /dev/null +++ b/tests/test_selection/test_information_value.py @@ -0,0 +1,138 @@ +import numpy as np +import pandas as pd +import pytest + +from feature_engine.selection import SelectByInformationValue + + +@pytest.mark.parametrize("_threshold", ["python", (True, False), [4.3, 3]]) +def test_error_when_not_permitted_threshold(_threshold): + with pytest.raises(ValueError): + SelectByInformationValue(threshold=_threshold) + + +@pytest.mark.parametrize("_bins", ["python", (True, False), 4.3, -1]) +def test_error_when_not_permitted_bins(_bins): + with pytest.raises(ValueError): + SelectByInformationValue(bins=_bins) + + +@pytest.mark.parametrize("_strategy", ["python", (True, False), 4.3, -1]) +def test_error_when_not_permitted_strategy(_strategy): + with pytest.raises(ValueError): + SelectByInformationValue(strategy=_strategy) + + +def test_raises_error_when_target_not_binary(df_enc_numeric): + transformer = SelectByInformationValue() + with pytest.raises(ValueError): + transformer.fit(df_enc_numeric[["var_A", "target"]], df_enc_numeric["var_B"]) + + +def test_calculate_iv_method(): + # values taken from here: + # https://www.listendata.com/2015/03/weight-of-evidence-woe-and-information.html + pos = np.array( + [ + 0.05379574, + 0.12288367, + 0.134352813, + 0.163025669, + 0.166302567, + 0.158929547, + 0.105406881, + 0.045057346, + 0.050245767, + ] + ) + + neg = np.array( + [ + 0.059171598, + 0.100591716, + 0.115384615, + 0.150887574, + 0.159763314, + 0.162721893, + 0.121301775, + 0.068047337, + 0.062130178, + ] + ) + woe = np.log(pos / neg) + sel = SelectByInformationValue() + assert sel._calculate_iv(pos, neg, woe) == 0.0233856621001144 + + +def test_iv_dictionary(df_enc): + sel = SelectByInformationValue().fit(df_enc[["var_A", "var_B"]], df_enc["target"]) + expected_dict = {"var_A": 0.29706307738283366, "var_B": 0.29706307738283366} + assert sel.information_values_ == expected_dict + + +def test_transformer_with_default_params(): + df = pd.DataFrame( + { + "var_A": ["A"] * 6 + ["B"] * 10 + ["C"] * 4, + "var_B": ["A"] * 10 + ["B"] * 6 + ["C"] * 4, + "var_C": ["X"] * 7 + ["Y"] * 5 + ["Z"] * 8, + "var_D": ["L"] * 3 + ["M"] * 9 + ["N"] * 8, + "var_E": ["R"] * 7 + ["S"] * 4 + ["T"] * 9, + "target": [1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0], + } + ) + X = df.drop("target", axis=1).copy() + y = df["target"].copy() + + sel = SelectByInformationValue() + sel.fit(df.drop("target", axis=1), df["target"]) + X_tr = sel.fit_transform(X, y) + + exp_dict = { + "var_A": 0.29706307738283366, + "var_B": 0.29706307738283366, + "var_C": 0.07817653204775647, + "var_D": 0.494962117149986, + "var_E": 0.024620803988822354, + } + + features_to_drop = ["var_C", "var_E"] + exp_df = X.drop(features_to_drop, axis=1) + + assert sel.information_values_ == exp_dict + assert sel.features_to_drop_ == features_to_drop + assert X_tr.equals(exp_df) + + +def test_transformer_with_nmerical_and_categorical_variables(df_enc): + df = pd.DataFrame( + { + "var_A": ["A"] * 6 + ["B"] * 10 + ["C"] * 4, + "var_B": ["A"] * 10 + ["B"] * 6 + ["C"] * 4, + "var_C": np.linspace(0, 20, num=20), + "var_D": np.linspace(0, 20, num=20), + "var_E": ["R"] * 7 + ["S"] * 4 + ["T"] * 9, + "target": [1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0], + } + ) + X = df.drop("target", axis=1).copy() + y = df["target"].copy() + + sel = SelectByInformationValue(bins=3) + sel.fit(df.drop("target", axis=1), df["target"]) + X_tr = sel.fit_transform(X, y) + + exp_dict = { + "var_A": 0.29706307738283366, + "var_B": 0.29706307738283366, + "var_C": 0.010625883395914762, + "var_D": 0.010625883395914762, + "var_E": 0.024620803988822354, + } + + features_to_drop = ["var_C", "var_D", "var_E"] + exp_df = X.drop(features_to_drop, axis=1) + + assert sel.information_values_ == exp_dict + assert sel.features_to_drop_ == features_to_drop + assert X_tr.equals(exp_df) From b0affd1c8f83382df1ce5a0c56c64ca1b706755c Mon Sep 17 00:00:00 2001 From: Soledad Galli Date: Fri, 14 Oct 2022 14:04:39 +0200 Subject: [PATCH 02/12] makes y compulsory in fit --- feature_engine/selection/information_value.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/feature_engine/selection/information_value.py b/feature_engine/selection/information_value.py index 5c3d019c8..721b9c8e6 100644 --- a/feature_engine/selection/information_value.py +++ b/feature_engine/selection/information_value.py @@ -143,7 +143,7 @@ def __init__( self.threshold = threshold self.confirm_variables = confirm_variables - def fit(self, X: pd.DataFrame, y: pd.Series = None): + def fit(self, X: pd.DataFrame, y: pd.Series): """ Learn the information value. From e610b4a5e3d3ed65d12acbe6dd9317d87b422898 Mon Sep 17 00:00:00 2001 From: Soledad Galli Date: Fri, 14 Oct 2022 14:17:37 +0200 Subject: [PATCH 03/12] adds test for equal frequency discretization --- .../test_selection/test_information_value.py | 20 ++++++++++++++++++- 1 file changed, 19 insertions(+), 1 deletion(-) diff --git a/tests/test_selection/test_information_value.py b/tests/test_selection/test_information_value.py index 1446df3db..08157308b 100644 --- a/tests/test_selection/test_information_value.py +++ b/tests/test_selection/test_information_value.py @@ -104,7 +104,7 @@ def test_transformer_with_default_params(): assert X_tr.equals(exp_df) -def test_transformer_with_nmerical_and_categorical_variables(df_enc): +def test_transformer_with_numerical_and_categorical_variables(df_enc): df = pd.DataFrame( { "var_A": ["A"] * 6 + ["B"] * 10 + ["C"] * 4, @@ -136,3 +136,21 @@ def test_transformer_with_nmerical_and_categorical_variables(df_enc): assert sel.information_values_ == exp_dict assert sel.features_to_drop_ == features_to_drop assert X_tr.equals(exp_df) + + +def test_transformer_with_equal_frequency_discretization(df_enc): + df = pd.DataFrame({ + "var_C": np.linspace(0, 20, num=20), + "var_D": np.linspace(0, 20, num=20), + "target": [1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0], + }) + X = df.drop("target", axis=1).copy() + y = df["target"].copy() + + sel = SelectByInformationValue(bins=3, strategy="equal_frequency") + sel.fit(df.drop("target", axis=1), df["target"]) + sel.fit(X, y) + + exp_dict = {'var_C': 0.010625883395914762, 'var_D': 0.010625883395914762} + + assert sel.information_values_ == exp_dict From a161eb06cab410b761f051b3ed1521bd6af23c41 Mon Sep 17 00:00:00 2001 From: Soledad Galli Date: Fri, 14 Oct 2022 14:40:43 +0200 Subject: [PATCH 04/12] adds class to various docs indexes, rewords selection index api --- README.md | 1 + .../selection/SelectByInformationValue.rst | 4 +- docs/api_doc/selection/index.rst | 53 +++++++++++++------ docs/index.rst | 1 + 4 files changed, 40 insertions(+), 19 deletions(-) diff --git a/README.md b/README.md index c87d13553..9fea931de 100644 --- a/README.md +++ b/README.md @@ -126,6 +126,7 @@ transforming parameters from the data and then transform it. * RecursiveFeatureElimination * RecursiveFeatureAddition * DropHighPSIFeatures + * SelectByInformationValue ### Datetime * DatetimeFeatures diff --git a/docs/api_doc/selection/SelectByInformationValue.rst b/docs/api_doc/selection/SelectByInformationValue.rst index 5191299bf..7c2897cb6 100644 --- a/docs/api_doc/selection/SelectByInformationValue.rst +++ b/docs/api_doc/selection/SelectByInformationValue.rst @@ -1,5 +1,5 @@ SelectByInformationValue ======================== -.. autoclass::feature_engine.selection.SelectByInformationValue - :members: \ No newline at end of file +.. autoclass:: feature_engine.selection.SelectByInformationValue + :members: diff --git a/docs/api_doc/selection/index.rst b/docs/api_doc/selection/index.rst index 659b36591..b17b33c57 100644 --- a/docs/api_doc/selection/index.rst +++ b/docs/api_doc/selection/index.rst @@ -4,17 +4,18 @@ Feature Selection ================= -Feature-engine's feature selection transformers are used to drop subsets of variables, -or in other words, to select subsets of variables. Feature-engine hosts selection -algorithms that are, in general, not available in other libraries. These algorithms have -been gathered from data science competitions or used in the industry. +Feature-engine's feature selection transformers are used to drop subsets of variables +with low predictive value. Feature-engine hosts selection algorithms that are, in general, +not available in other libraries. These algorithms have been gathered from data science +competitions or used in the industry. -Feature-engine's transformers select features based on 2 strategies. They either select -features by looking at the features intrinsic characteristics, like distributions or their -relationship with other features. Or they select features based on their impact on the -machine learning model performance. +Feature-engine's transformers select features based on different strategies. Some algorithms +remove constant or quasi-constant features. Some algorithms remove duplicated or correlated +variables. Some algorithms select features based on a machine learning model performance. +Some transformers implement selection procedures used in finance. And some transformers support +functionality that has been developed in the industry or in data science competitions. -In the following tables you find the algorithms that belong to either category. +In the following tables you find the algorithms that belong to each category. Selection based on feature characteristics ------------------------------------------ @@ -27,20 +28,37 @@ Selection based on feature characteristics :class:`DropDuplicateFeatures()` √ √ Drops features that are duplicated :class:`DropCorrelatedFeatures()` × √ Drops features that are correlated :class:`SmartCorrelatedSelection()` × √ From a correlated feature group drops the less useful features +============================================ ======================= ============= ==================================================================================== + +Selection based on a machine learning model +------------------------------------------- + +============================================ ======================= ============= ==================================================================================== + Transformer Categorical variables Allows NA Description +============================================ ======================= ============= ==================================================================================== +:class:`SelectBySingleFeaturePerformance()` × × Selects features based on single feature model performance +:class:`RecursiveFeatureElimination()` × × Removes features recursively by evaluating model performance +:class:`RecursiveFeatureAddition()` × × Adds features recursively by evaluating model performance +============================================ ======================= ============= ==================================================================================== + +Selection methods commonly used in finance +------------------------------------------ + +============================================ ======================= ============= ==================================================================================== + Transformer Categorical variables Allows NA Description +============================================ ======================= ============= ==================================================================================== :class:`DropHighPSIFeatures()` × √ Drops features with high Population Stability Index +:class:`SelectByInformationValue()` √ x Drops features with low information value ============================================ ======================= ============= ==================================================================================== -Selection based on model performance ------------------------------------- +Alternative feature selection methods +------------------------------------- ============================================ ======================= ============= ==================================================================================== Transformer Categorical variables Allows NA Description ============================================ ======================= ============= ==================================================================================== :class:`SelectByShuffling()` × × Selects features if shuffling their values causes a drop in model performance -:class:`SelectBySingleFeaturePerformance()` × × Removes observations with missing data from the dataset :class:`SelectByTargetMeanPerformance()` √ × Using the target mean as performance proxy, selects high performing features -:class:`RecursiveFeatureElimination()` × × Removes features recursively by evaluating model performance -:class:`RecursiveFeatureAddition()` × × Adds features recursively by evaluating model performance ============================================ ======================= ============= ==================================================================================== @@ -53,12 +71,13 @@ Selection based on model performance DropDuplicateFeatures DropCorrelatedFeatures SmartCorrelatedSelection - DropHighPSIFeatures - SelectByShuffling SelectBySingleFeaturePerformance - SelectByTargetMeanPerformance RecursiveFeatureElimination RecursiveFeatureAddition + DropHighPSIFeatures + SelectByInformationValue + SelectByShuffling + SelectByTargetMeanPerformance Other Feature Selection Libraries --------------------------------- diff --git a/docs/index.rst b/docs/index.rst index d66646b37..ee25e146e 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -174,6 +174,7 @@ Feature Selection: - :doc:`api_doc/selection/DropCorrelatedFeatures`: drops correlated variables from a dataframe - :doc:`api_doc/selection/SmartCorrelatedSelection`: selects best features from correlated groups - :doc:`api_doc/selection/DropHighPSIFeatures`: selects features based on the Population Stability Index (PSI) +- :doc:`api_doc/selection/SelectByInformationValue`: selects features by evaluating model performance after feature shuffling - :doc:`api_doc/selection/SelectByShuffling`: selects features by evaluating model performance after feature shuffling - :doc:`api_doc/selection/SelectBySingleFeaturePerformance`: selects features based on their performance on univariate estimators - :doc:`api_doc/selection/SelectByTargetMeanPerformance`: selects features based on target mean encoding performance From 65d7bc0d41a8e1077f357e4fdc06d80215368d3c Mon Sep 17 00:00:00 2001 From: Soledad Galli Date: Fri, 14 Oct 2022 15:02:24 +0200 Subject: [PATCH 05/12] updates api --- feature_engine/selection/information_value.py | 67 +++++++++++++------ .../selection/target_mean_selection.py | 2 +- 2 files changed, 49 insertions(+), 20 deletions(-) diff --git a/feature_engine/selection/information_value.py b/feature_engine/selection/information_value.py index 721b9c8e6..9dfefe5c3 100644 --- a/feature_engine/selection/information_value.py +++ b/feature_engine/selection/information_value.py @@ -51,19 +51,37 @@ ) class SelectByInformationValue(BaseSelector, WoE): """ - InformationValue() calculates the information value (IV) for each variable. - The transformer is only compatible with categorical variables (type 'object' - or 'categorical') and binary classification. + SelectByInformationValue() selects features based on their information value (IV). + The IV is calculated as: - You can pass a list of variables to score. Alternatively, the - transformer will find and score all categorical variables (type 'object' - or 'categorical'). + .. math:: + + IV = ∑ (fraction of positive cases - fraction of negative cases) * WoE + + where: + + - the fraction of positive cases is the proportion of observations of class 1, + from the total class 1 observations. + - the fraction of negative cases is the proportion of observations of class 0, + from the total class 0 observations. + - WoE is the weight of the evidence. + + SelectByInformationValue() is only suitable to select features for binary + classification. + + SelectByInformationValue() can determine the IV for numerical and categorical + variables. For numerical variables, it first sorts the variables into intervals, + and then determines the IV. + + You can pass a list of variables to examine. Alternatively, the transformer will + examine all variables. + + The IV allows you to assess each variable's independent contribution to the target + variable. The transformer selects those variables whose IV is higher than the + threshold. + + More details in the :ref:`User Guide `. - IV will allow you to assess each passed variable's independent contribution to - the target variable. The transfomer returns the passed variables that scored - higher than the threshold and the variables that were not passed as an init param. - In the case of passing None for the 'variables' parameter, the transformer - only returns the variables that scored higher than the threshold. Parameters ---------- @@ -76,10 +94,12 @@ class SelectByInformationValue(BaseSelector, WoE): the values will be sorted. strategy: str, default = 'equal_width' - Whether the bins should of equal width ('equal_width') or equal frequency + Whether the bins should be of equal width ('equal_width') or equal frequency ('equal_frequency'). - {threshold} + threshold: float, int, default = 0.2. + The threshold to drop a feature. If the IV for a feature is < threshold, the + feature will be dropped. {confirm_variables} @@ -87,15 +107,15 @@ class SelectByInformationValue(BaseSelector, WoE): ---------- {variables_} - {feature_names_in} - - {n_features_in} - information_values_: A dictionary with the information values for each feature. {features_to_drop} + {feature_names_in} + + {n_features_in} + Methods ------- fit: @@ -111,6 +131,16 @@ class SelectByInformationValue(BaseSelector, WoE): See Also -------- feature_engine.encoding.WoEEncoder + feature_engine.discretisation.EqualWidthDiscretiser + feature_engine.discretisation.EqualFrequencyDiscretiser + + References + ---------- + .. [1] Weight of evidence and information value explained + https://www.listendata.com/2015/03/weight-of-evidence-woe-and-information.html + + .. [2] WoE and IV for continuous variables + https://www.listendata.com/2019/08/WOE-IV-Continuous-Dependent.html """ def __init__( @@ -145,13 +175,12 @@ def __init__( def fit(self, X: pd.DataFrame, y: pd.Series): """ - Learn the information value. + Learn the information value. Find features with IV above the threshold. Parameters ---------- X: pandas dataframe of shape = [n_samples, n_features] The training input samples. - Can be the entire dataframe, not just the categorical variables. y: pandas series of shape = [n_samples, ] Target, must be binary. diff --git a/feature_engine/selection/target_mean_selection.py b/feature_engine/selection/target_mean_selection.py index 6704aef58..e90d013ca 100644 --- a/feature_engine/selection/target_mean_selection.py +++ b/feature_engine/selection/target_mean_selection.py @@ -113,7 +113,7 @@ class SelectByTargetMeanPerformance(BaseSelector): the values will be sorted. strategy: str, default = 'equal_width' - Whether the bins should of equal width ('equal_width') or equal frequency + Whether the bins should be of equal width ('equal_width') or equal frequency ('equal_frequency'). {scoring} From 65db2091642033dc62270e013a31800468ff3164 Mon Sep 17 00:00:00 2001 From: Soledad Galli Date: Fri, 14 Oct 2022 15:21:44 +0200 Subject: [PATCH 06/12] update user guide index 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diff --git a/docs/user_guide/selection/SelectByInformationValue.rst b/docs/user_guide/selection/SelectByInformationValue.rst index 9d6f69030..d803d66c1 100644 --- a/docs/user_guide/selection/SelectByInformationValue.rst +++ b/docs/user_guide/selection/SelectByInformationValue.rst @@ -6,19 +6,36 @@ SelectByInformationValue ======================== :class:`SelectByInformationValue()` selects features based on whether the feature's information value score is -greater than the threshold passed by the user. Information value only applies to categorical features. +greater than the threshold passed by the user. -Information value (IV) is used to assess a categorical feature's predictive power of a binary-class dependent +The IV is calculated as: + +.. math:: + + IV = ∑ (fraction of positive cases - fraction of negative cases) * WoE + +where: + +- the fraction of positive cases is the proportion of observations of class 1, from the total class 1 observations. +- the fraction of negative cases is the proportion of observations of class 0, from the total class 0 observations. +- WoE is the weight of the evidence. + +The WoE is calculated as: + +.. math:: + + WoE = ln(fraction of positive cases / fraction of negative cases) + +Information value (IV) is used to assess a feature's predictive power of a binary-class dependent variable. To derive a feature's IV, the weight of evidence (WoE) must first be calculated for each unique category or bin that comprises the feature. If a category or bin contains a large percentage of true or positive labels compared to the percentage of false or negative labels, then that category or bin will have a high WoE value. -:class:`WoE()` is used to calcaulate the WoE values for each category. - -Once the WoE is derived, :class:`SelectByInformationValue()` calculates the IV for each variable. A variable's IV is essentially -the weighted sum of the individual WoE values for each category within that variable where the weights incorporate the absolute -difference between the numerator and denominator. This value assesses the feature's predictive power in capturing the binary +Once the WoE is derived, :class:`SelectByInformationValue()` calculates the IV for each variable. +A variable's IV is essentially the weighted sum of the individual WoE values for each category or bin +within that variable where the weights incorporate the absolute difference between the +numerator and denominator. This value assesses the feature's predictive power in capturing the binary dependent variable. The table below presents a general framework for using IV to determine a variable's predictive power: @@ -40,19 +57,7 @@ The table below presents a general framework for using IV to determine a variabl * - > 0.5 - Suspicious, too good to be true - -Important ---------- -:class:`SelectByInformationValue()` automatically identifies categorical variables, i.e., variable types that -are object or categorical. If any of the categorical variables within the dataset uses numeric values for its categories or bins -the parameter :code:`ignore_format` should be set to :code:`True`. - -:class:`SelectByInformationValue()` is not compatible with missing data. To solve this issue, :class:`CategoricalImputer()` -can be used to replace the missing data with an arbitrary value or the most frequent category. Another approach is to drop -the rows that include the missing data. - -IV assumes a linear relationship between the indepdent and dependent variables. Therefore, this selection method should only be -use with linear models, i.e., logistic regression. +Table taken from `listendata `_. Example @@ -72,7 +77,7 @@ Let's import the required libraries and classes: import pandas as pd import numpy as np from sklearn.model_selection import train_test_split - from feature_engine import SelectByInformationValue + from feature_engine.selection import SelectByInformationValue Let's now load and prepare the credit approval data: @@ -128,27 +133,25 @@ We see the size of the datasets below. ((522, 15), (131, 15)) -Now, we set up :class:`SelectByInformationValue()`. We will pass seven categorical variables to the parameter -:code:`variables`. The transformer confirms that these variables exist within the dataset and that the variables are -categorical. We will set the parameter :code:`threshold` to `0.2`. We see from the abovementioned table that an IV score -of 0.2 signifies medium predictive power. +Now, we set up :class:`SelectByInformationValue()`. We will pass six categorical +variables to the parameter :code:`variables`. We will set the parameter :code:`threshold` +to `0.2`. We see from the above mentioned table that an IV score of 0.2 signifies medium +predictive power. .. code:: python sel = SelectByInformationValue( - variables=['A1', 'A6', 'A7', 'A9', 'A10', 'A12', 'A13'], + variables=['A1', 'A6', 'A9', 'A10', 'A12', 'A13'], threshold=0.2, - ignore_format=False, - confirm_variables=False, ) - sel.fit(X_train, X_test) + sel.fit(X_train, y_train) With :code:`fit()`, the transformer: - calculates the WoE for each variable - calculates the the IV for each variable - - identifies the variables that have an IV score below the passed threshold + - identifies the variables that have an IV score below the threshold In the attribute :code:`variables_`, we find the variables that were evaluated: @@ -162,27 +165,30 @@ In the attribute :code:`features_to_drop_`, we find the variables that were not sel.features_to_drop_ - ['A1', 'A6', 'A10', 'A12'] + ['A1', 'A12', 'A13'] -The attribute :code:`information_values_` shows the IV scores for each variable. Let's look at -:code:`information_values_` with the the IV scores rounded to three decimal places: +The attribute :code:`information_values_` shows the IV scores for each variable. .. code:: python - # round IV scores to 3 decimal places - info_vals_rnd = {k: v.round(3) for k, v in sel.information_values_.items()} - info_val_rnd + {'A1': 0.0009535686492270659, + 'A6': 0.6006252129425703, + 'A9': 2.9184484098456807, + 'A10': 0.8606638171665587, + 'A12': 0.012251943759377052, + 'A13': 0.04383964979386022} + +We see that the transformer correctly selected the features that have an IV score greater +than the :code:`threshold` which was set to 0.2. + +The transformer also has the method `get_support` with similar functionality to Scikit-learn's +selectors method. If you execute `sel.get_support()`, you obtain: - {'A1': -2.107, - 'A6': -3.842, - 'A7': 10.837, - 'A9': 51.237, - 'A10': -7.108, - 'A12': -0.503, - 'A13': 25.793} +.. code:: python -We see that the transformer correctly selected the features that have an IV score greater than the :code:`threshold` -which was set to 0.2. + [False, True, True, True, True, True, True, + True, True, True, True, False, False, True, + True] With :code:`transform()`, we can go ahead and drop the features that do not meet the threshold: @@ -194,22 +200,80 @@ With :code:`transform()`, we can go ahead and drop the features that do not meet .. code:: python - A2 A3 A4 A5 A7 A8 A9 A11 A13 A14 A15 - 564 42.17 5.04 u g h 12.750 t 0 g 92.0 0 - 519 39.17 1.71 u g v 0.125 t 5 g 480.0 0 - 14 45.83 10.50 u g v 5.000 t 7 g 0.0 0 - 257 20.00 0.00 u g v 0.500 f 0 g 144.0 0 - 88 34.00 4.50 u g v 1.000 t 0 g 240.0 0 + A2 A3 A4 A5 A6 A7 A8 A9 A10 A11 A14 A15 + 564 42.17 5.04 u g q h 12.750 t f 0 92.0 0 + 519 39.17 1.71 u g x v 0.125 t t 5 480.0 0 + 14 45.83 10.50 u g q v 5.000 t t 7 0.0 0 + 257 20.00 0.00 u g d v 0.500 f f 0 144.0 0 + 88 34.00 4.50 u g aa v 1.000 t f 0 240.0 0 Note that :code:`Xtr` includes all the numerical features - i.e., A2, A3, A8, A11, and A14 - because -:class:`SelectByInformationValue()` only filters out categorical features. Also, features A4 and A5 remain -because these variables were not passed to the :code:`variables` parameter when the transformer was instantiated. +we only evaluated a few of the categorical features. And, finally, we can also obtain the names of the features in the final transformed dataset: .. code:: python - sel.get_feature_name_names_out() + sel.get_feature_names_out() + + ['A2', 'A3', 'A4', 'A5', 'A6', 'A7', 'A8', 'A9', 'A10', 'A11', 'A14', 'A15'] + + +If we want to select from categorical and numerical variables, we can do so as well by +sorting the numerical variables into bins first. Let's sort them into 5 bins of equal-frequency: + +.. code:: python + + sel = SelectByInformationValue( + bins=5, + strategy="equal_frequency", + threshold=0.2, + ) + + sel.fit(X_train.drop(["A4", "A5", "A7"], axis=1), y_train) + +If we now inspect the information values: + +.. code:: python + + sel.information_values_ + +We see the following: + +.. code:: python + + {'A1': 0.0009535686492270659, + 'A2': 0.10319123021570434, + 'A3': 0.2596258749173557, + 'A6': 0.6006252129425703, + 'A8': 0.7291628533346297, + 'A9': 2.9184484098456807, + 'A10': 0.8606638171665587, + 'A11': 1.0634602064399297, + 'A12': 0.012251943759377052, + 'A13': 0.04383964979386022, + 'A14': 0.3316668794040285, + 'A15': 0.6228678069374612} + +And if we inspect the features to drop: + +.. code:: python + + sel.features_to_drop_ + +We see the following: + +.. code:: python + + ['A1', 'A2', 'A12', 'A13'] + + +Note +---- + +The WoE is given by a logarithm of a fraction. Thus, if for any category or bin, the fraction of +observations of class 0 is 0, the WoE is not defined, and the transformer will raise an error. - ['A2', 'A3', 'A4', 'A5', 'A7', 'A8', 'A9', 'A11', 'A13', 'A14', 'A15'] \ No newline at end of file +If you encounter this problem try grouping variables into fewer bins if they are numerical, +or grouping rare categories with the RareLabelEncoder if they are categorical. \ No newline at end of file From 3843a4c3715bb338183221bbb1234d26c9a517dc Mon Sep 17 00:00:00 2001 From: Soledad Galli Date: Fri, 14 Oct 2022 16:23:07 +0200 Subject: [PATCH 08/12] modifies test to avoid float difference errors --- tests/test_selection/test_information_value.py | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/tests/test_selection/test_information_value.py b/tests/test_selection/test_information_value.py index 08157308b..35880ae3a 100644 --- a/tests/test_selection/test_information_value.py +++ b/tests/test_selection/test_information_value.py @@ -1,3 +1,4 @@ +import math import numpy as np import pandas as pd import pytest @@ -99,7 +100,8 @@ def test_transformer_with_default_params(): features_to_drop = ["var_C", "var_E"] exp_df = X.drop(features_to_drop, axis=1) - assert sel.information_values_ == exp_dict + for key in exp_dict.keys(): + assert math.isclose(exp_dict[key], sel.information_values_[key]) assert sel.features_to_drop_ == features_to_drop assert X_tr.equals(exp_df) @@ -133,7 +135,8 @@ def test_transformer_with_numerical_and_categorical_variables(df_enc): features_to_drop = ["var_C", "var_D", "var_E"] exp_df = X.drop(features_to_drop, axis=1) - assert sel.information_values_ == exp_dict + for key in exp_dict.keys(): + assert math.isclose(exp_dict[key], sel.information_values_[key]) assert sel.features_to_drop_ == features_to_drop assert X_tr.equals(exp_df) @@ -153,4 +156,5 @@ def test_transformer_with_equal_frequency_discretization(df_enc): exp_dict = {'var_C': 0.010625883395914762, 'var_D': 0.010625883395914762} - assert sel.information_values_ == exp_dict + for key in exp_dict.keys(): + assert math.isclose(exp_dict[key], sel.information_values_[key]) From caf796b30c610ab33d02b4331197ab5efe20956a Mon Sep 17 00:00:00 2001 From: Soledad Galli Date: Fri, 14 Oct 2022 17:00:35 +0200 Subject: [PATCH 09/12] update index --- docs/index.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/index.rst b/docs/index.rst index ee25e146e..d2d0f33e3 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -174,7 +174,7 @@ Feature Selection: - :doc:`api_doc/selection/DropCorrelatedFeatures`: drops correlated variables from a dataframe - :doc:`api_doc/selection/SmartCorrelatedSelection`: selects best features from correlated groups - :doc:`api_doc/selection/DropHighPSIFeatures`: selects features based on the Population Stability Index (PSI) -- :doc:`api_doc/selection/SelectByInformationValue`: selects features by evaluating model performance after feature shuffling +- :doc:`api_doc/selection/SelectByInformationValue`: selects features based on their information value - :doc:`api_doc/selection/SelectByShuffling`: selects features by evaluating model performance after feature shuffling - :doc:`api_doc/selection/SelectBySingleFeaturePerformance`: selects features based on their performance on univariate estimators - :doc:`api_doc/selection/SelectByTargetMeanPerformance`: selects features based on target mean encoding performance From 479ec4b322832738d1dcc007b85ce054cbd86931 Mon Sep 17 00:00:00 2001 From: Soledad Galli Date: Fri, 14 Oct 2022 17:02:31 +0200 Subject: [PATCH 10/12] fixes load filename --- docs/user_guide/selection/SelectByInformationValue.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/user_guide/selection/SelectByInformationValue.rst b/docs/user_guide/selection/SelectByInformationValue.rst index d803d66c1..769efd41a 100644 --- a/docs/user_guide/selection/SelectByInformationValue.rst +++ b/docs/user_guide/selection/SelectByInformationValue.rst @@ -84,7 +84,7 @@ Let's now load and prepare the credit approval data: .. code:: python # load data - data = pd.read_csv('data/crx.data', header=None) + data = pd.read_csv('crx.data', header=None) # name variables var_names = ['A' + str(s) for s in range(1,17)] From bc7df479f09e357b37f5da1bfe056c6aa60a9f6c Mon Sep 17 00:00:00 2001 From: Soledad Galli Date: Fri, 14 Oct 2022 17:05:24 +0200 Subject: [PATCH 11/12] fix typo --- docs/user_guide/selection/index.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/user_guide/selection/index.rst b/docs/user_guide/selection/index.rst index 052bc6ff1..e53aed329 100644 --- a/docs/user_guide/selection/index.rst +++ b/docs/user_guide/selection/index.rst @@ -150,4 +150,4 @@ More details about feature selection can be found in the following resources: - `Feature Selection Online Course `_ - `Feature Selection book `_ -- `Tran in data's blog `_ +- `Train in data's blog `_ From 57e444f2c15c66771557995c648319da126d1f14 Mon Sep 17 00:00:00 2001 From: Soledad Galli Date: Fri, 14 Oct 2022 17:07:13 +0200 Subject: [PATCH 12/12] tidy --- feature_engine/selection/information_value.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/feature_engine/selection/information_value.py b/feature_engine/selection/information_value.py index 9dfefe5c3..4e2e18204 100644 --- a/feature_engine/selection/information_value.py +++ b/feature_engine/selection/information_value.py @@ -1,6 +1,3 @@ -# Authors: Morgan Sell -# License: BSD 3 clause - from typing import List, Union import numpy as np