“““
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
-----------?---------??----------?-----??----

?????文件????????195??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\.gitignore

?????文件?????284756??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\01_the_machine_learning_landscape.ipynb

?????文件????1350273??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\02_end_to_end_machine_learning_project.ipynb

?????文件?????447511??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\03_classification.ipynb

?????文件?????851389??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\04_training_linear_models.ipynb

?????文件?????914359??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\05_support_vector_machines.ipynb

?????文件?????204214??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\06_decision_trees.ipynb

?????文件?????553305??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\07_ensemble_learning_and_random_forests.ipynb

?????文件????5760930??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\08_dimensionality_reduction.ipynb

?????文件?????203686??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\09_up_and_running_with_tensorflow.ipynb

?????文件?????320538??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\10_introduction_to_artificial_neural_networks.ipynb

?????文件????1954346??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\11_deep_learning.ipynb

?????文件??????24726??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\12_distributed_tensorflow.ipynb

?????文件????4981104??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\13_convolutional_neural_networks.ipynb

?????文件?????674734??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\14_recurrent_neural_networks.ipynb

?????文件?????349978??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\15_autoencoders.ipynb

?????文件????1415260??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\16_reinforcement_learning.ipynb

?????文件??????48616??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\book_equations.ipynb

?????文件????1423529??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\datasets\housing\housing.csv

?????文件?????409488??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\datasets\housing\housing.tgz

?????文件???????3680??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\datasets\housing\README.md

?????文件??????31674??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\datasets\inception\imagenet_class_names.txt

?????文件??????36323??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\datasets\lifesat\gdp_per_capita.csv

?????文件?????405467??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\datasets\lifesat\oecd_bli_2015.csv

?????文件???????4311??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\datasets\lifesat\README.md

?????文件?????????32??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\docker\.env

?????文件?????????89??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\docker\bashrc.bash

?????文件???????4986??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\docker\bin\nbclean_checkpoints

?????文件????????583??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\docker\bin\nbdiff_checkpoint

?????文件???????2136??2018-09-17?17:51??Hands-On?Machine?Learning?with?Scikit-Learn?&?TensorFlow-master-源碼+數據\docker\bin\rm_empty_subdirs

............此處省略71個文件信息