“““
This?module?merges?two?files?from?Scikit-Learn?0.20?to?make?a?few?encoders
available?for?users?using?an?earlier?version:
????*?sklearn/preprocessing/data.py?（OneHotEncoder?and?CategoricalEncoder）
????*?sklearn/compose/_column_transformer.py?（ColumnTransformer）
I?just?copy/pasted?the?contents?fixed?the?imports?and?__all__?and?also
copied?the?definitions?of?three?pipeline?functions?whose?signature?changes
in?0.20:?_fit_one_transformer?_transform_one?and?_fit_transform_one.
The?original?authors?are?listed?below.
----
The?:mod:‘sklearn.compose._column_transformer‘?module?implements?utilities
to?work?with?heterogeneous?data?and?to?apply?different?transformers?to
different?columns.
“““
#?Authors:?Andreas?Mueller?
#??????????Joris?Van?den?Bossche?
#?License:?BSD?3?clause

from?__future__?import?division

import?numbers
import?warnings

import?numpy?as?np
from?scipy?import?sparse

from?sklearn.base?import?clone?baseEstimator?TransformerMixin
from?sklearn.externals?import?six
from?sklearn.utils?import?Bunch?check_array
from?sklearn.externals.joblib.parallel?import?delayed?Parallel
from?sklearn.utils.metaestimators?import?_baseComposition
from?sklearn.utils.validation?import?check_is_fitted?FLOAT_DTYPES
from?sklearn.pipeline?import?_name_estimators
from?sklearn.preprocessing?import?FunctionTransformer
from?sklearn.preprocessing.label?import?LabelEncoder

from?itertools?import?chain


#?weight?and?fit_params?are?not?used?but?it?allows?_fit_one_transformer
#?_transform_one?and?_fit_transform_one?to?have?the?same?signature?to
#??factorize?the?code?in?ColumnTransformer
def?_fit_one_transformer（transformer?X?y?weight=None?**fit_params）:
????return?transformer.fit（X?y）


def?_transform_one（transformer?X?y?weight?**fit_params）:
????res?=?transformer.transform（X）
????#?if?we?have?a?weight?for?this?transformer?multiply?output
????if?weight?is?None:
????????return?res
????return?res?*?weight


def?_fit_transform_one（transformer?X?y?weight?**fit_params）:
????if?hasattr（transformer?‘fit_transform‘）:
????????res?=?transformer.fit_transform（X?y?**fit_params）
????else:
????????res?=?transformer.fit（X?y?**fit_params）.transform（X）
????#?if?we?have?a?weight?for?this?transformer?multiply?output
????if?weight?is?None:
????????return?res?transformer
????return?res?*?weight?transformer


BOUNDS_THRESHOLD?=?1e-7


zip?=?six.moves.zip
map?=?six.moves.map
range?=?six.moves.range

__all__?=?[
????‘OneHotEncoder‘
????‘OrdinalEncoder‘
????‘ColumnTransformer‘
????‘make_column_transformer‘
]


def?_argmax（arr_or_spmatrix?axis=None）:
????return?arr_or_spmatrix.argmax（axis=axis）


def?_handle_zeros_in_scale（scale?copy=True）:
????‘‘‘?Makes?sure?that?whenever?scale?is?zero?we?handle?it?correctly.

????This?happens?in?most?scalers?when?we?have?constant?features.‘‘‘

????#?if?we?are?fitting?on?1D?arrays?scale?might?be?a?scalar
????if?np.isscalar（scale）:
????????if?scale?==?.0:
????????????scale?

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2018-09-01?15:00??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\
?????文件????47507402??2018-08-15?16:35??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow.pdf
?????文件????15111719??2018-06-29?09:27??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow中文版.pdf
?????目錄???????????0??2018-09-01?14:51??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\
?????文件?????????195??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\.gitignore
?????目錄???????????0??2018-09-01?14:51??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\.ipynb_checkpoints\
?????文件?????1399309??2018-08-16?14:33??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\.ipynb_checkpoints\16_reinforcement_learning-checkpoint.ipynb
?????文件??????284756??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\01_the_machine_learning_landscape.ipynb
?????文件?????1350273??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\02_end_to_end_machine_learning_project.ipynb
?????文件??????447511??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\03_classification.ipynb
?????文件??????851389??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\04_training_linear_models.ipynb
?????文件??????914359??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\05_support_vector_machines.ipynb
?????文件??????204214??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\06_decision_trees.ipynb
?????文件??????553305??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\07_ensemble_learning_and_random_forests.ipynb
?????文件?????5760930??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\08_dimensionality_reduction.ipynb
?????文件??????203686??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\09_up_and_running_with_tensorflow.ipynb
?????文件??????320538??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\10_introduction_to_artificial_neural_networks.ipynb
?????文件?????1954530??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\11_deep_learning.ipynb
?????文件???????24726??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\12_distributed_tensorflow.ipynb
?????文件?????4981104??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\13_convolutional_neural_networks.ipynb
?????文件??????674734??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\14_recurrent_neural_networks.ipynb
?????文件??????349978??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\15_autoencoders.ipynb
?????文件?????1399309??2018-08-16?14:33??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\16_reinforcement_learning.ipynb
?????文件???????48616??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\book_equations.ipynb
?????目錄???????????0??2018-09-01?14:51??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\datasets\
?????目錄???????????0??2018-09-01?14:51??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\datasets\housing\
?????文件?????1423529??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\datasets\housing\housing.csv
?????文件??????409488??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\datasets\housing\housing.tgz
?????文件????????3680??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\datasets\housing\README.md
?????目錄???????????0??2018-09-01?14:51??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\datasets\inception\
?????文件???????31674??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\datasets\inception\imagenet_class_names.txt
............此處省略69個文件信息