OneHotEncoder throws unhelpful error messages when tranform called prior to fit #12395
Description
Description
OneHotEncoder throws an AttributeError instead of a NotFittedError when tranform is called prior to fit
- if
transformis called prior to being fit anAttributeErroris thrown - if
categoriesincludes arrays of of unicode type
Steps/Code to Reproduce
import numpy as np
from sklearn.preprocessing import OneHotEncoder
categories = sorted(['Dillon', 'Joel', 'Earl', 'Liz'])
X = np.array(['Dillon', 'Dillon', 'Joel', 'Liz', 'Liz', 'Earl']).reshape(-1, 1)
ohe = OneHotEncoder(categories=[sorted(categories)])
ohe.transform(X)
# Throws AttributeError: 'OneHotEncoder' object has no attribute '_legacy_mode'
Expected Results
NotFittedError: This OneHotEncoder instance is not fitted yet. Call 'fit' with appropriate arguments before using this method.
Actual Results
Throws AttributeError: 'OneHotEncoder' object has no attribute '_legacy_mode'
Versions
System
------
python: 3.6.3 (default, Oct 4 2017, 06:09:38) [GCC 4.2.1 Compatible Apple LLVM 9.0.0 (clang-900.0.37)]
executable: /Users/dillon/Envs/mewtwo/bin/python3.6
machine: Darwin-18.0.0-x86_64-i386-64bit
BLAS
----
macros: NO_ATLAS_INFO=3, HAVE_CBLAS=None
lib_dirs:
cblas_libs: cblas
Python deps
-----------
pip: 18.1
setuptools: 39.0.1
sklearn: 0.20.0
numpy: 1.14.2
scipy: 1.0.1
Cython: None
pandas: 0.22.0