scikit-learn-contrib/category_encoders

Handle missing in one hot encoder

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#400 opened on Mar 12, 2023

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Description

Expected Behavior

Currently, handle_missing=value adds a new column although the documentation says 'value' will encode a new value as 0 in every dummy column. Furthermore, we need a test for this

Actual Behavior

adds a column instead of using all 0

Steps to Reproduce the Problem

from category_encoders import OneHotEncoder
import pandas as pd

he = OneHotEncoder(handle_missing="value")

data = [("foo", 1), ("bar", 2), (None, 6)]
data = pd.DataFrame(data, columns=["c1", "c2"])
print(he.fit_transform(data))

Specifications

  • Version: 2.6
  • Platform: linux

Contributor guide

Research direction
Investigate the OneHotEncoder's handle missing implementation; ensure that when handle missing='value', missing values are encoded as all zeros instead of creating a new column. Add corresponding tests.
Tech stack
python
Domain
datamachine learning
Issue type
Bug
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Pythonpandascategory encoders
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
75