From efd878e0404ce19d685bd3a7fac9fdb632179522 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Wed, 31 May 2023 05:54:08 +0000 Subject: automatic import of python-gml --- .gitignore | 1 + python-gml.spec | 560 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 562 insertions(+) create mode 100644 python-gml.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..6d84877 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/GML-3.0.6.tar.gz diff --git a/python-gml.spec b/python-gml.spec new file mode 100644 index 0000000..42b691b --- /dev/null +++ b/python-gml.spec @@ -0,0 +1,560 @@ +%global _empty_manifest_terminate_build 0 +Name: python-GML +Version: 3.0.6 +Release: 1 +Summary: Automating Data Science +License: MIT +URL: https://github.com/Muhammad4hmed/Ghalat-Machine-Learning +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/cc/09/183c8061d0df2c5c910c2f99d36e704086a844b132cf9b787a53e5f67de2/GML-3.0.6.tar.gz +BuildArch: noarch + +Requires: python3-scikit-learn +Requires: python3-xgboost +Requires: python3-fastai +Requires: python3-catboost +Requires: python3-Keras +Requires: python3-lightgbm +Requires: python3-torch +Requires: python3-torchvision +Requires: python3-category-encoders +Requires: python3-Pint +Requires: python3-pandas +Requires: python3-numpy +Requires: python3-albumentations +Requires: python3-transformers +Requires: python3-efficientnet-pytorch +Requires: python3-matplotlib +Requires: python3-seaborn +Requires: python3-tqdm +Requires: python3-requests +Requires: python3-beautifulsoup4 +Requires: python3-ftfy +Requires: python3-tensorflow +Requires: python3-sympy + +%description +

GML Brain+Machine Adding AI Revolution

+ +[![Generic badge](https://img.shields.io/badge/Data_Science-AUTO-.svg)](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning) +[![Generic badge](https://img.shields.io/badge/Machine_Learning-AUTO-.svg)](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning) +[![Generic badge](https://img.shields.io/badge/Deep_Learning-AUTO-.svg)](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning) +[![Generic badge](https://img.shields.io/badge/NLP-AUTO-.svg)](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning)
+[![PyPI version](https://badge.fury.io/py/GML.svg)](https://pypi.org/project/GML) +[![PyPI license](https://img.shields.io/pypi/l/ansicolortags.svg)](https://pypi.org/project/GML/) +[![PyPI pyversions](https://img.shields.io/pypi/pyversions/ansicolortags.svg)](https://pypi.org/project/GML/) +[![GitHub issues](https://img.shields.io/github/issues/Muhammad4hmed/Ghalat-Machine-Learning)](https://GitHub.com/Muhammad4hmed/Ghalat-Machine-Learning/issues/) + + +

Creators

+Muhammad Ahmed
+Naman Tuli + +

Contributors

+Rafey Iqbal Rahman +
+
+ +Tired of doing Data Science manually? GML is here for you! +
+
+GML is an automatic data science library in python built on top of multiple Python packages. Complete features which we offer are listed as:
+ +
+
+

Installation:


+ +```python +pip install GML +``` + +
+https://pypi.org/project/GML +
+
+

Features:


+

Auto Feature Engineering


+
+ +```python +from GML import FeatureEngineering + +fe = FeatureEngineering(Data, 'target', fill_missing_data=True, encode_data=True, + normalize=True, remove_outliers=True, + new_features=True, feateng_steps=2 ) # feateng_steps = 0 for features selection without feature creation + +X_new, y, test = fe.get_new_data() +``` + +

Click Here for complete DEMO

+
+

Auto EDA (Powered by Sweetviz)


+
+ +```python +from GML import sweetviz + +result1 = sweetviz.compare([train,'train'],[test,'test'],'target') +result2 = sweetviz.analyze([train,'train']) + +result.show_html() +result2.show_html() +``` + + + +

Click Here for complete DEMO

+
+

Auto Machine Learning


+
+ +```python +from GML import AutoML + +gml_ml = AutoML() + +gml_ml.GMLClassifier(X, y, metric = accuracy_score, folds = 10) +``` + +
+ +

Click Here for complete DEMO

+

Auto Text Cleaning


+
+ +```python +from GML import AutoNLP + +nlp = AutoNLP() + +cleanX = X.apply(lambda x: nlp.clean(x)) +``` + +

Click Here for complete DEMO

+
+ +

Auto Text Classification using transformers


+
+ +```python +from GML import AutoNLP + +nlp = AutoNLP() + +nlp.set_params(cleanX, tokenizer_name='roberta-large-mnli', BATCH_SIZE=4, + model_name='roberta-large-mnli', MAX_LEN=200) + +model = nlp.train_model(tokenizedX, y) +``` + +

Click Here for complete DEMO

+
+

Auto Image Classification with Augmentation


+
+ +```python +from GML import Auto_Image_Processing + +gml_image_processing = Auto_Image_Processing() + +model = gml_image_processing.imgClassificationcsv(img_path = './covid_image_data/train', + train_path = './covid_image_data/Training_set_covid.csv', + model_list = models, + tfms = True, advance_augmentation = True, + epochs=1) +``` + +

Click Here for complete DEMO

+
+

Text Augmentation using transformers: GPT-2


+
+ +```python +from GML import AutoNLP + +nlp = AutoNLP() + +nlp.augmentation_train('./data.csv') + +nlp.set_params(X['Text']) + +new_Text = nlp.augmentation_generate(y = y, SENTENCES = 100) +``` + +

Click Here for complete DEMO

+
+
+More cool features and handling of different data types like audio data etc will be added in future. +
+Feel free to give suggestions, report bugs and contribute. + + + + +%package -n python3-GML +Summary: Automating Data Science +Provides: python-GML +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-GML +

GML Brain+Machine Adding AI Revolution

+ +[![Generic badge](https://img.shields.io/badge/Data_Science-AUTO-.svg)](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning) +[![Generic badge](https://img.shields.io/badge/Machine_Learning-AUTO-.svg)](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning) +[![Generic badge](https://img.shields.io/badge/Deep_Learning-AUTO-.svg)](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning) +[![Generic badge](https://img.shields.io/badge/NLP-AUTO-.svg)](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning)
+[![PyPI version](https://badge.fury.io/py/GML.svg)](https://pypi.org/project/GML) +[![PyPI license](https://img.shields.io/pypi/l/ansicolortags.svg)](https://pypi.org/project/GML/) +[![PyPI pyversions](https://img.shields.io/pypi/pyversions/ansicolortags.svg)](https://pypi.org/project/GML/) +[![GitHub issues](https://img.shields.io/github/issues/Muhammad4hmed/Ghalat-Machine-Learning)](https://GitHub.com/Muhammad4hmed/Ghalat-Machine-Learning/issues/) + + +

Creators

+Muhammad Ahmed
+Naman Tuli + +

Contributors

+Rafey Iqbal Rahman +
+
+ +Tired of doing Data Science manually? GML is here for you! +
+
+GML is an automatic data science library in python built on top of multiple Python packages. Complete features which we offer are listed as:
+ +
+
+

Installation:


+ +```python +pip install GML +``` + +
+https://pypi.org/project/GML +
+
+

Features:


+

Auto Feature Engineering


+
+ +```python +from GML import FeatureEngineering + +fe = FeatureEngineering(Data, 'target', fill_missing_data=True, encode_data=True, + normalize=True, remove_outliers=True, + new_features=True, feateng_steps=2 ) # feateng_steps = 0 for features selection without feature creation + +X_new, y, test = fe.get_new_data() +``` + +

Click Here for complete DEMO

+
+

Auto EDA (Powered by Sweetviz)


+
+ +```python +from GML import sweetviz + +result1 = sweetviz.compare([train,'train'],[test,'test'],'target') +result2 = sweetviz.analyze([train,'train']) + +result.show_html() +result2.show_html() +``` + + + +

Click Here for complete DEMO

+
+

Auto Machine Learning


+
+ +```python +from GML import AutoML + +gml_ml = AutoML() + +gml_ml.GMLClassifier(X, y, metric = accuracy_score, folds = 10) +``` + +
+ +

Click Here for complete DEMO

+

Auto Text Cleaning


+
+ +```python +from GML import AutoNLP + +nlp = AutoNLP() + +cleanX = X.apply(lambda x: nlp.clean(x)) +``` + +

Click Here for complete DEMO

+
+ +

Auto Text Classification using transformers


+
+ +```python +from GML import AutoNLP + +nlp = AutoNLP() + +nlp.set_params(cleanX, tokenizer_name='roberta-large-mnli', BATCH_SIZE=4, + model_name='roberta-large-mnli', MAX_LEN=200) + +model = nlp.train_model(tokenizedX, y) +``` + +

Click Here for complete DEMO

+
+

Auto Image Classification with Augmentation


+
+ +```python +from GML import Auto_Image_Processing + +gml_image_processing = Auto_Image_Processing() + +model = gml_image_processing.imgClassificationcsv(img_path = './covid_image_data/train', + train_path = './covid_image_data/Training_set_covid.csv', + model_list = models, + tfms = True, advance_augmentation = True, + epochs=1) +``` + +

Click Here for complete DEMO

+
+

Text Augmentation using transformers: GPT-2


+
+ +```python +from GML import AutoNLP + +nlp = AutoNLP() + +nlp.augmentation_train('./data.csv') + +nlp.set_params(X['Text']) + +new_Text = nlp.augmentation_generate(y = y, SENTENCES = 100) +``` + +

Click Here for complete DEMO

+
+
+More cool features and handling of different data types like audio data etc will be added in future. +
+Feel free to give suggestions, report bugs and contribute. + + + + +%package help +Summary: Development documents and examples for GML +Provides: python3-GML-doc +%description help +

GML Brain+Machine Adding AI Revolution

+ +[![Generic badge](https://img.shields.io/badge/Data_Science-AUTO-.svg)](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning) +[![Generic badge](https://img.shields.io/badge/Machine_Learning-AUTO-.svg)](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning) +[![Generic badge](https://img.shields.io/badge/Deep_Learning-AUTO-.svg)](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning) +[![Generic badge](https://img.shields.io/badge/NLP-AUTO-.svg)](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning)
+[![PyPI version](https://badge.fury.io/py/GML.svg)](https://pypi.org/project/GML) +[![PyPI license](https://img.shields.io/pypi/l/ansicolortags.svg)](https://pypi.org/project/GML/) +[![PyPI pyversions](https://img.shields.io/pypi/pyversions/ansicolortags.svg)](https://pypi.org/project/GML/) +[![GitHub issues](https://img.shields.io/github/issues/Muhammad4hmed/Ghalat-Machine-Learning)](https://GitHub.com/Muhammad4hmed/Ghalat-Machine-Learning/issues/) + + +

Creators

+Muhammad Ahmed
+Naman Tuli + +

Contributors

+Rafey Iqbal Rahman +
+
+ +Tired of doing Data Science manually? GML is here for you! +
+
+GML is an automatic data science library in python built on top of multiple Python packages. Complete features which we offer are listed as:
+ +
+
+

Installation:


+ +```python +pip install GML +``` + +
+https://pypi.org/project/GML +
+
+

Features:


+

Auto Feature Engineering


+
+ +```python +from GML import FeatureEngineering + +fe = FeatureEngineering(Data, 'target', fill_missing_data=True, encode_data=True, + normalize=True, remove_outliers=True, + new_features=True, feateng_steps=2 ) # feateng_steps = 0 for features selection without feature creation + +X_new, y, test = fe.get_new_data() +``` + +

Click Here for complete DEMO

+
+

Auto EDA (Powered by Sweetviz)


+
+ +```python +from GML import sweetviz + +result1 = sweetviz.compare([train,'train'],[test,'test'],'target') +result2 = sweetviz.analyze([train,'train']) + +result.show_html() +result2.show_html() +``` + + + +

Click Here for complete DEMO

+
+

Auto Machine Learning


+
+ +```python +from GML import AutoML + +gml_ml = AutoML() + +gml_ml.GMLClassifier(X, y, metric = accuracy_score, folds = 10) +``` + +
+ +

Click Here for complete DEMO

+

Auto Text Cleaning


+
+ +```python +from GML import AutoNLP + +nlp = AutoNLP() + +cleanX = X.apply(lambda x: nlp.clean(x)) +``` + +

Click Here for complete DEMO

+
+ +

Auto Text Classification using transformers


+
+ +```python +from GML import AutoNLP + +nlp = AutoNLP() + +nlp.set_params(cleanX, tokenizer_name='roberta-large-mnli', BATCH_SIZE=4, + model_name='roberta-large-mnli', MAX_LEN=200) + +model = nlp.train_model(tokenizedX, y) +``` + +

Click Here for complete DEMO

+
+

Auto Image Classification with Augmentation


+
+ +```python +from GML import Auto_Image_Processing + +gml_image_processing = Auto_Image_Processing() + +model = gml_image_processing.imgClassificationcsv(img_path = './covid_image_data/train', + train_path = './covid_image_data/Training_set_covid.csv', + model_list = models, + tfms = True, advance_augmentation = True, + epochs=1) +``` + +

Click Here for complete DEMO

+
+

Text Augmentation using transformers: GPT-2


+
+ +```python +from GML import AutoNLP + +nlp = AutoNLP() + +nlp.augmentation_train('./data.csv') + +nlp.set_params(X['Text']) + +new_Text = nlp.augmentation_generate(y = y, SENTENCES = 100) +``` + +

Click Here for complete DEMO

+
+
+More cool features and handling of different data types like audio data etc will be added in future. +
+Feel free to give suggestions, report bugs and contribute. + + + + +%prep +%autosetup -n GML-3.0.6 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-GML -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed May 31 2023 Python_Bot - 3.0.6-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..0663cfd --- /dev/null +++ b/sources @@ -0,0 +1 @@ +47a6995cbe8673349f43dc3b9f9218d3 GML-3.0.6.tar.gz -- cgit v1.2.3