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    發布日期: 2022-05-16
  • 語言: 其他
  • 標簽: 機器學習??

資源簡介

Scikit-Learn與TensorFlow機器學習實用指南,中英兩本電子書,含代碼

資源截圖

代碼片段和文件信息

“““
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???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-ml-with-sklearn-and-tf?中文.pdf

????.......???????195??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\.gitignore

?????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

????.......????284756??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\01_the_machine_learning_landscape.ipynb

????.......???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

????.......????447511??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\03_classification.ipynb

????.......????851389??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\04_training_linear_models.ipynb

????.......????914359??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\05_support_vector_machines.ipynb

????.......????204214??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\06_decision_trees.ipynb

????.......????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

????.......???5760930??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\08_dimensionality_reduction.ipynb

????.......????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

????.......????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

????.......???1954530??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\11_deep_learning.ipynb

????.......?????24726??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\12_distributed_tensorflow.ipynb

????.......???4981104??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\13_convolutional_neural_networks.ipynb

????.......????674734??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\14_recurrent_neural_networks.ipynb

????.......????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

????.......?????48616??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\book_equations.ipynb

????.......???1423529??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\datasets\housing\housing.csv

????.......????409488??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\datasets\housing\housing.tgz

????.......??????3680??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\datasets\housing\README.md

????.......?????31674??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\datasets\inception\imagenet_class_names.txt

????.......?????36323??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\datasets\lifesat\gdp_per_capita.csv

????.......????405467??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\datasets\lifesat\oecd_bli_2015.csv

????.......??????4311??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\datasets\lifesat\README.md

????.......????????32??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\docker\.env

????.......????????89??2018-08-11?04:21??Hands-On?Machine?Learning?with?Scikit-Learn?and?TensorFlow\handson-ml-master\docker\bashrc.bash

............此處省略73個文件信息

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