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‎dist/everywhereml-0.2.38/PKG-INFO

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Metadata-Version: 2.1
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Name: everywhereml
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Version: 0.2.38
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Summary: Train ML in Python, run everywhere
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Home-page: https://github.com/eloquentarduino/everywhereml
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Download-URL: https://github.com/eloquentarduino/everywhereml/blob/master/dist/everywhereml-0.2.38.tar.gz?raw=true
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Author: Simone Salerno
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Author-email: [email protected]
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License: MIT
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Keywords: ML,machine learning
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Classifier: Development Status :: 2 - Pre-Alpha
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Classifier: Intended Audience :: Developers
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Classifier: Topic :: Software Development :: Code Generators
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Classifier: License :: OSI Approved :: MIT License
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.4
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Classifier: Programming Language :: Python :: 3.5
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Classifier: Programming Language :: Python :: 3.6
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Provides-Extra: tf

‎dist/everywhereml-0.2.38/README.md

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# EverywhereML
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A Python package to train Machine Learning models that run (almost) everywhere, including:
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- [X] C++ / embedded systems
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- [X] Javascript
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- [X] PHP
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- [ ] Go / TinyGo
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- [ ] MicroPython
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- [ ] ... other languages
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This means you can deploy your models to:
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- Edge devices
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- Web servers
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- Web browsers
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- ... other environments
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## Components
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The package implements most of the tools you need to develop a fully functional model, including:
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- [X] Data loading and visualization
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- [X] Preprocessing
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- [ ] Pipeline
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- [X] BoxCox (power transform)
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- [X] CrossDiff
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- [X] MinMaxScaler
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- [X] Normalizer
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- [X] PolynomialFeatures
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- [X] RateLimit
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- [X] StandardScaler
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- [X] YeoJohnson (power transform)
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- [ ] Audio
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- [ ] MelSpectrogram
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- [X] Feature selection
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- [X] RFE
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- [X] SelectKBest
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- [ ] Time series analysis
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- [X] Diff
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- [X] Fourier transform
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- [X] Rolling window
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- [ ] TSFRESH
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- [ ] Classification
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- [X] RandomForest
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- [X] LogisticRegression
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- [X] GaussianNB
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- [ ] BernoulliNB
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- [ ] SVM (not tested)
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- [ ] LinearSVM
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- [X] DecisionTree
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- [X] XGBoost
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- [ ] Catboost
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- [ ] Regression
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- [ ] LinearRegression
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Each of these components can be trained in Python and exported to any of the supported languages
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with no (or as few as possible) external dependencies.
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For example:
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```
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from everywhereml.data.preprocessing import MinMaxScaler
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from sklearn.datasets import load_iris
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transformer = MinMaxScaler()
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X, y = load_iris(return_X_y=True)
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Xt, yt = transformer.fit_transform(X, y)
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print('Original range', (X.min(), X.max()))
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print('Transformed range', (Xt.min(), Xt.max()))
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# port to C++
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print(transformer.port(language='cpp'))
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# port to Js
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print(transformer.port(language='js'))
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# port to PHP
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print(transformer.port(language='php'))
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```
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‎dist/everywhereml-0.2.38/everywhereml.egg-info/PKG-INFO

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Metadata-Version: 2.1
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Name: everywhereml
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Version: 0.2.38
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Summary: Train ML in Python, run everywhere
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Home-page: https://github.com/eloquentarduino/everywhereml
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Download-URL: https://github.com/eloquentarduino/everywhereml/blob/master/dist/everywhereml-0.2.38.tar.gz?raw=true
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Author: Simone Salerno
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Author-email: [email protected]
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License: MIT
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Keywords: ML,machine learning
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Classifier: Development Status :: 2 - Pre-Alpha
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Classifier: Intended Audience :: Developers
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Classifier: Topic :: Software Development :: Code Generators
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Classifier: License :: OSI Approved :: MIT License
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.4
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Classifier: Programming Language :: Python :: 3.5
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Classifier: Programming Language :: Python :: 3.6
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Provides-Extra: tf

‎dist/everywhereml-0.2.38/everywhereml.egg-info/SOURCES.txt

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README.md
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setup.py
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everywhereml/__init__.py
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everywhereml.egg-info/PKG-INFO
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everywhereml.egg-info/SOURCES.txt
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everywhereml.egg-info/dependency_links.txt
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everywhereml.egg-info/requires.txt
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everywhereml.egg-info/top_level.txt
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everywhereml/arduino/BoardEntry.py
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everywhereml/arduino/Cli.py
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everywhereml/arduino/Cpp.py
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everywhereml/arduino/FileManipulator.py
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everywhereml/arduino/H.py
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everywhereml/arduino/Ino.py
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everywhereml/arduino/PortEntry.py
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everywhereml/arduino/Selector.py
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everywhereml/arduino/SerialIO.py
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everywhereml/arduino/Sketch.py
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everywhereml/arduino/__init__.py
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everywhereml/code_generators/GeneratesCode.py
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everywhereml/code_generators/__init__.py
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everywhereml/code_generators/tensorflow.py
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everywhereml/code_generators/jinja/Environment.py
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everywhereml/code_generators/jinja/FileSystemLoader.py
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everywhereml/code_generators/jinja/Jinja.py
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everywhereml/code_generators/jinja/__init__.py
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everywhereml/code_generators/jinja/helpers.py
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everywhereml/code_generators/jinja/filters/__init__.py
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everywhereml/code_generators/jinja/filters/c_shape.py
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everywhereml/code_generators/jinja/filters/to_c_array.py
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everywhereml/code_generators/jinja/filters/to_c_comment.py
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everywhereml/code_generators/jinja/filters/to_py_comment.py
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everywhereml/code_generators/jinja/filters/to_py_list.py
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everywhereml/code_generators/jinja/filters/to_variable_name.py
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everywhereml/code_generators/prettifiers/__init__.py
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everywhereml/code_generators/prettifiers/basic_python_prettifier.py
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everywhereml/data/Dataset.py
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everywhereml/data/ImageDataset.py
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everywhereml/data/_ImageDataset.py
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everywhereml/data/__init__.py
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everywhereml/data/collect/BaseCollector.py
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everywhereml/data/collect/ByteStream.py
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everywhereml/data/collect/MjpegCollector.py
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everywhereml/data/collect/SerialCollector.py
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everywhereml/data/collect/__init__.py
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everywhereml/dialog/Selector.py
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everywhereml/dialog/__init__.py
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everywhereml/get_started/__init__.py
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everywhereml/plot/DatasetPlotter.py
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everywhereml/plot/__init__.py
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everywhereml/preprocessing/MinMaxScaler.py
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everywhereml/preprocessing/Pipeline.py
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everywhereml/preprocessing/SpectralFeatures.py
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everywhereml/preprocessing/Window.py
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everywhereml/preprocessing/__init__.py
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everywhereml/preprocessing/image/HOG.py
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everywhereml/preprocessing/image/LBP.py
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everywhereml/preprocessing/image/__init__.py
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everywhereml/preprocessing/image/object_detection/BaseObjectDetectionPipeline.py
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everywhereml/preprocessing/image/object_detection/HogPipeline.py
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everywhereml/preprocessing/image/object_detection/__init__.py
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everywhereml/preprocessing/image/transform/Grayscale.py
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everywhereml/preprocessing/image/transform/Resize.py
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everywhereml/preprocessing/image/transform/__init__.py
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everywhereml/sklearn/SklearnBaseClassifier.py
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everywhereml/sklearn/__init__.py
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everywhereml/sklearn/ensemble/RandomForestClassifier.py
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everywhereml/sklearn/ensemble/__init__.py
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everywhereml/sklearn/tree/DecisionTreeClassifier.py
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everywhereml/sklearn/tree/__init__.py
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everywhereml/templates/__init__.py
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everywhereml/templates/cpp/BaseClassifier.cpp.jinja
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everywhereml/templates/cpp/TensorFlowPorter.cpp.jinja
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everywhereml/templates/cpp/class_map.cpp.jinja
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everywhereml/templates/cpp/convert_tf_model.jinja
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everywhereml/templates/cpp/latency.cpp.jinja
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everywhereml/templates/cpp/vote.cpp.jinja
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everywhereml/templates/js/BaseClassifier.js.jinja
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everywhereml/templates/js/class_map.js.jinja
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everywhereml/templates/js/vote.js.jinja
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everywhereml/templates/preprocessing/cpp/MinMaxScaler.cpp.jinja
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everywhereml/templates/preprocessing/cpp/Pipeline.cpp.jinja
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everywhereml/templates/preprocessing/cpp/SpectralFeatures.cpp.jinja
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everywhereml/templates/preprocessing/cpp/Step.cpp.jinja
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everywhereml/templates/preprocessing/cpp/Window.cpp.jinja
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everywhereml/templates/preprocessing/image/cpp/BaseImageStep.cpp.jinja
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everywhereml/templates/preprocessing/image/cpp/HOG.cpp.jinja
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everywhereml/templates/preprocessing/image/cpp/LBP.cpp.jinja
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everywhereml/templates/preprocessing/image/object_detection/cpp/BaseObjectDetectionPipeline.cpp.jinja
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everywhereml/templates/preprocessing/image/object_detection/cpp/HogPipeline.cpp.jinja
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everywhereml/templates/preprocessing/image/transform/cpp/Resize.cpp.jinja
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everywhereml/templates/py/BaseClassifier.py.jinja
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everywhereml/templates/py/class_map.py.jinja
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everywhereml/templates/py/latency.py.jinja
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everywhereml/templates/py/vote.py.jinja
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everywhereml/templates/sklearn/ensemble/cpp/RandomForestClassifier.cpp.jinja
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everywhereml/templates/sklearn/ensemble/cpp/tree.cpp.jinja
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everywhereml/templates/sklearn/ensemble/py/micro/RandomForestClassifier.py.micro.jinja
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everywhereml/templates/sklearn/ensemble/py/micro/tree.py.jinja
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everywhereml/templates/sklearn/tree/cpp/DecisionTreeClassifier.cpp.jinja
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everywhereml/templates/sklearn/tree/cpp/tree.cpp.jinja
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everywhereml/templates/xgboost/cpp/XGBClassifier.jinja
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everywhereml/templates/xgboost/cpp/tree.jinja
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everywhereml/templates/xgboost/js/XGBClassifier.jinja
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everywhereml/templates/xgboost/js/tree.jinja
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everywhereml/templates/xgboost/py/XGBClassifier.jinja
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everywhereml/templates/xgboost/py/tree.jinja
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everywhereml/tests/BaseTestCase.py
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everywhereml/tests/__init__.py
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everywhereml/tests/data/__init__.py
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everywhereml/tests/preprocessing/BasePreprocessingTestCase.py
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everywhereml/tests/preprocessing/MinMaxScalerTest.py
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everywhereml/tests/preprocessing/__init__.py
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everywhereml/tests/preprocessing/image/HOGTest.py
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everywhereml/tests/preprocessing/image/LBPTest.py
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everywhereml/tests/preprocessing/image/__init__.py
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everywhereml/tests/runtime/BaseRuntime.py
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everywhereml/tests/runtime/CppRuntime.py
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everywhereml/tests/runtime/JsRuntime.py
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everywhereml/tests/runtime/PHPRuntime.py
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everywhereml/tests/runtime/__init__.py
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everywhereml/tests/sklearn/__init__.py
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everywhereml/tests/sklearn/ensemble/RandomForestClassifierTest.py
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everywhereml/tests/sklearn/ensemble/__init__.py
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everywhereml/tests/templates/classifier.cpp.jinja
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everywhereml/tests/templates/pipeline.cpp.jinja
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everywhereml/tests/xgboost/XGBClassifierTest.py
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everywhereml/tests/xgboost/__init__.py
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everywhereml/xgboost/XGBClassifier.py
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everywhereml/xgboost/__init__.py

‎dist/everywhereml-0.2.38/everywhereml.egg-info/dependency_links.txt

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‎dist/everywhereml-0.2.38/everywhereml.egg-info/requires.txt

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numpy
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pandas
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seaborn
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scikit-learn
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scikit-image
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Jinja2
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cached-property
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umap-learn
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python-slugify
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hexdump
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jinja2_workarounds
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requests
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pySerial
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tqdm
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hexdump
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[tf]
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tensorflow

‎dist/everywhereml-0.2.38/everywhereml.egg-info/top_level.txt

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everywhereml

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