diff options
Diffstat (limited to 'python-gml.spec')
| -rw-r--r-- | python-gml.spec | 560 |
1 files changed, 560 insertions, 0 deletions
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 +<h1>GML <img src="https://cdn2.iconfinder.com/data/icons/artificial-intelligence-6/64/ArtificialIntelligence9-512.png" alt="Brain+Machine" height="38" width="38"> </img> <img src="https://cdn2.iconfinder.com/data/icons/artificial-intelligence-6/64/ArtificialIntelligence15-512.png" alt="Adding AI" height="38" width="38"> </img> <img src="https://cdn1.iconfinder.com/data/icons/science-technology-outline/91/Science__Technology_35-512.png" alt="Revolution" height="38" width="38"> </img> </h1> + +[](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning) +[](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning) +[](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning) +[](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning)<br> +[](https://pypi.org/project/GML) +[](https://pypi.org/project/GML/) +[](https://pypi.org/project/GML/) +[](https://GitHub.com/Muhammad4hmed/Ghalat-Machine-Learning/issues/) + + +<h2> Creators </h2> +<a href="https://www.linkedin.com/in/muhammad4hmed/">Muhammad Ahmed</a> <br> +<a href="https://www.linkedin.com/in/naman-tuli-3213361a6">Naman Tuli</a> + +<h2> Contributors </h2> +<a href="https://www.linkedin.com/in/rafeyirahman">Rafey Iqbal Rahman</a> +<br> +<br> + +<b>Tired of doing Data Science manually? GML is here for you!</b> +<br> +<br> +GML is an automatic data science library in python built on top of multiple Python packages. Complete features which we offer are listed as: <br> +<img src="https://i.ibb.co/L1mpQR1/Untitled-design-High-Quality-3.jpg"> +<br> +<br> +<h2>Installation: </h2> <br> + +```python +pip install GML +``` + +<br> +<a href = "https://pypi.org/project/GML/">https://pypi.org/project/GML</a> +<br> +<br> +<h2>Features:</h2><br> +<h3>Auto Feature Engineering</h3> <br> +<br> + +```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() +``` + +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/FeatureEngineering.ipynb">Here</a> for complete DEMO</p> +<br> +<h3>Auto EDA (Powered by Sweetviz)</h3> <br> +<br> + +```python +from GML import sweetviz + +result1 = sweetviz.compare([train,'train'],[test,'test'],'target') +result2 = sweetviz.analyze([train,'train']) + +result.show_html() +result2.show_html() +``` + +<a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/GML_ANALYZE_REPORT.html"> <img src="https://i.ibb.co/wgzQfgy/Screenshot-2020-11-30-Screenshot.png"> </a> +<a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/GML_COMPARE_REPORT.html"> <img src="https://i.ibb.co/0BpHYJZ/Screenshot-2020-11-30-Screenshot-1.png"> </a> +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/AutoEDA.ipynb">Here</a> for complete DEMO</p> +<br> +<h3> Auto Machine Learning </h3> <br> +<br> + +```python +from GML import AutoML + +gml_ml = AutoML() + +gml_ml.GMLClassifier(X, y, metric = accuracy_score, folds = 10) +``` + +<br> +<img src="https://i.ibb.co/s3x77XZ/Screenshot-2020-11-30-Auto-Machine-Learning-Jupyter-Notebook.png"> +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/AutoMachineLearning.ipynb">Here</a> for complete DEMO</p> +<h3> Auto Text Cleaning </h3> <br> +<br> + +```python +from GML import AutoNLP + +nlp = AutoNLP() + +cleanX = X.apply(lambda x: nlp.clean(x)) +``` + +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/AutoTextClean.ipynb">Here</a> for complete DEMO</p> +<br> + +<h3> Auto Text Classification using transformers </h3> <br> +<br> + +```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) +``` + +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/AutoTextClassification.ipynb">Here</a> for complete DEMO</p> +<br> +<h3> Auto Image Classification with Augmentation </h3> <br> +<br> + +```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) +``` + +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/AutoImageClassificationAndAugmentation.ipynb">Here</a> for complete DEMO</p> +<br> +<h3> Text Augmentation using transformers: GPT-2</h3> <br> +<br> + +```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) +``` + +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/TextAugmentation.ipynb">Here</a> for complete DEMO</p> +<br> +<br> +More cool features and handling of different data types like audio data etc will be added in future. +<br> +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 +<h1>GML <img src="https://cdn2.iconfinder.com/data/icons/artificial-intelligence-6/64/ArtificialIntelligence9-512.png" alt="Brain+Machine" height="38" width="38"> </img> <img src="https://cdn2.iconfinder.com/data/icons/artificial-intelligence-6/64/ArtificialIntelligence15-512.png" alt="Adding AI" height="38" width="38"> </img> <img src="https://cdn1.iconfinder.com/data/icons/science-technology-outline/91/Science__Technology_35-512.png" alt="Revolution" height="38" width="38"> </img> </h1> + +[](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning) +[](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning) +[](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning) +[](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning)<br> +[](https://pypi.org/project/GML) +[](https://pypi.org/project/GML/) +[](https://pypi.org/project/GML/) +[](https://GitHub.com/Muhammad4hmed/Ghalat-Machine-Learning/issues/) + + +<h2> Creators </h2> +<a href="https://www.linkedin.com/in/muhammad4hmed/">Muhammad Ahmed</a> <br> +<a href="https://www.linkedin.com/in/naman-tuli-3213361a6">Naman Tuli</a> + +<h2> Contributors </h2> +<a href="https://www.linkedin.com/in/rafeyirahman">Rafey Iqbal Rahman</a> +<br> +<br> + +<b>Tired of doing Data Science manually? GML is here for you!</b> +<br> +<br> +GML is an automatic data science library in python built on top of multiple Python packages. Complete features which we offer are listed as: <br> +<img src="https://i.ibb.co/L1mpQR1/Untitled-design-High-Quality-3.jpg"> +<br> +<br> +<h2>Installation: </h2> <br> + +```python +pip install GML +``` + +<br> +<a href = "https://pypi.org/project/GML/">https://pypi.org/project/GML</a> +<br> +<br> +<h2>Features:</h2><br> +<h3>Auto Feature Engineering</h3> <br> +<br> + +```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() +``` + +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/FeatureEngineering.ipynb">Here</a> for complete DEMO</p> +<br> +<h3>Auto EDA (Powered by Sweetviz)</h3> <br> +<br> + +```python +from GML import sweetviz + +result1 = sweetviz.compare([train,'train'],[test,'test'],'target') +result2 = sweetviz.analyze([train,'train']) + +result.show_html() +result2.show_html() +``` + +<a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/GML_ANALYZE_REPORT.html"> <img src="https://i.ibb.co/wgzQfgy/Screenshot-2020-11-30-Screenshot.png"> </a> +<a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/GML_COMPARE_REPORT.html"> <img src="https://i.ibb.co/0BpHYJZ/Screenshot-2020-11-30-Screenshot-1.png"> </a> +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/AutoEDA.ipynb">Here</a> for complete DEMO</p> +<br> +<h3> Auto Machine Learning </h3> <br> +<br> + +```python +from GML import AutoML + +gml_ml = AutoML() + +gml_ml.GMLClassifier(X, y, metric = accuracy_score, folds = 10) +``` + +<br> +<img src="https://i.ibb.co/s3x77XZ/Screenshot-2020-11-30-Auto-Machine-Learning-Jupyter-Notebook.png"> +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/AutoMachineLearning.ipynb">Here</a> for complete DEMO</p> +<h3> Auto Text Cleaning </h3> <br> +<br> + +```python +from GML import AutoNLP + +nlp = AutoNLP() + +cleanX = X.apply(lambda x: nlp.clean(x)) +``` + +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/AutoTextClean.ipynb">Here</a> for complete DEMO</p> +<br> + +<h3> Auto Text Classification using transformers </h3> <br> +<br> + +```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) +``` + +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/AutoTextClassification.ipynb">Here</a> for complete DEMO</p> +<br> +<h3> Auto Image Classification with Augmentation </h3> <br> +<br> + +```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) +``` + +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/AutoImageClassificationAndAugmentation.ipynb">Here</a> for complete DEMO</p> +<br> +<h3> Text Augmentation using transformers: GPT-2</h3> <br> +<br> + +```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) +``` + +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/TextAugmentation.ipynb">Here</a> for complete DEMO</p> +<br> +<br> +More cool features and handling of different data types like audio data etc will be added in future. +<br> +Feel free to give suggestions, report bugs and contribute. + + + + +%package help +Summary: Development documents and examples for GML +Provides: python3-GML-doc +%description help +<h1>GML <img src="https://cdn2.iconfinder.com/data/icons/artificial-intelligence-6/64/ArtificialIntelligence9-512.png" alt="Brain+Machine" height="38" width="38"> </img> <img src="https://cdn2.iconfinder.com/data/icons/artificial-intelligence-6/64/ArtificialIntelligence15-512.png" alt="Adding AI" height="38" width="38"> </img> <img src="https://cdn1.iconfinder.com/data/icons/science-technology-outline/91/Science__Technology_35-512.png" alt="Revolution" height="38" width="38"> </img> </h1> + +[](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning) +[](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning) +[](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning) +[](https://github.com/Muhammad4hmed/Ghalat-Machine-Learning)<br> +[](https://pypi.org/project/GML) +[](https://pypi.org/project/GML/) +[](https://pypi.org/project/GML/) +[](https://GitHub.com/Muhammad4hmed/Ghalat-Machine-Learning/issues/) + + +<h2> Creators </h2> +<a href="https://www.linkedin.com/in/muhammad4hmed/">Muhammad Ahmed</a> <br> +<a href="https://www.linkedin.com/in/naman-tuli-3213361a6">Naman Tuli</a> + +<h2> Contributors </h2> +<a href="https://www.linkedin.com/in/rafeyirahman">Rafey Iqbal Rahman</a> +<br> +<br> + +<b>Tired of doing Data Science manually? GML is here for you!</b> +<br> +<br> +GML is an automatic data science library in python built on top of multiple Python packages. Complete features which we offer are listed as: <br> +<img src="https://i.ibb.co/L1mpQR1/Untitled-design-High-Quality-3.jpg"> +<br> +<br> +<h2>Installation: </h2> <br> + +```python +pip install GML +``` + +<br> +<a href = "https://pypi.org/project/GML/">https://pypi.org/project/GML</a> +<br> +<br> +<h2>Features:</h2><br> +<h3>Auto Feature Engineering</h3> <br> +<br> + +```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() +``` + +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/FeatureEngineering.ipynb">Here</a> for complete DEMO</p> +<br> +<h3>Auto EDA (Powered by Sweetviz)</h3> <br> +<br> + +```python +from GML import sweetviz + +result1 = sweetviz.compare([train,'train'],[test,'test'],'target') +result2 = sweetviz.analyze([train,'train']) + +result.show_html() +result2.show_html() +``` + +<a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/GML_ANALYZE_REPORT.html"> <img src="https://i.ibb.co/wgzQfgy/Screenshot-2020-11-30-Screenshot.png"> </a> +<a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/GML_COMPARE_REPORT.html"> <img src="https://i.ibb.co/0BpHYJZ/Screenshot-2020-11-30-Screenshot-1.png"> </a> +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/AutoEDA.ipynb">Here</a> for complete DEMO</p> +<br> +<h3> Auto Machine Learning </h3> <br> +<br> + +```python +from GML import AutoML + +gml_ml = AutoML() + +gml_ml.GMLClassifier(X, y, metric = accuracy_score, folds = 10) +``` + +<br> +<img src="https://i.ibb.co/s3x77XZ/Screenshot-2020-11-30-Auto-Machine-Learning-Jupyter-Notebook.png"> +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/AutoMachineLearning.ipynb">Here</a> for complete DEMO</p> +<h3> Auto Text Cleaning </h3> <br> +<br> + +```python +from GML import AutoNLP + +nlp = AutoNLP() + +cleanX = X.apply(lambda x: nlp.clean(x)) +``` + +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/AutoTextClean.ipynb">Here</a> for complete DEMO</p> +<br> + +<h3> Auto Text Classification using transformers </h3> <br> +<br> + +```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) +``` + +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/AutoTextClassification.ipynb">Here</a> for complete DEMO</p> +<br> +<h3> Auto Image Classification with Augmentation </h3> <br> +<br> + +```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) +``` + +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/AutoImageClassificationAndAugmentation.ipynb">Here</a> for complete DEMO</p> +<br> +<h3> Text Augmentation using transformers: GPT-2</h3> <br> +<br> + +```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) +``` + +<p>Click <a href="https://github.com/Muhammad4hmed/GML/blob/master/DEMO/TextAugmentation.ipynb">Here</a> for complete DEMO</p> +<br> +<br> +More cool features and handling of different data types like audio data etc will be added in future. +<br> +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 <Python_Bot@openeuler.org> - 3.0.6-1 +- Package Spec generated |