Metadata-Version: 1.1
Name: speedml
Version: 0.8.1
Summary: Speedml Machine Learning Speed Start
Home-page: https://github.com/Speedml/speedml
Author: Manav Sehgal
Author-email: new@speedml.com
License: MIT
Description: ========================
        Speedml Python Package
        ========================
        
        Machine Learning Speed Start
        -------------------------------
        
        Speedml is a Python package to speed start machine learning projects. It integrates best ML packages and popular strategies used by top data scientists in an easy to use Python package.
        
        Get started by installing the Python package::
        
          pip install speedml
        
        Then all you need to do is include one package in your Jupyter Notebook project to get started::
        
          from speedml import Speedml
        
        Now you can configure the project datasets with one single command::
        
          sml = Speedml('data/train.csv', 'data/test.csv',
                        target = 'Survived', uid = 'PassengerId')
        
        Speedml enhances popular API so the results and side effects are intuitive::
        
          sml.shape()
        
        Results in enhanced shape information like so::
        
          Shape: train (891, 11) test (418, 10)
          Numerical: train_n (6) test_n (5)
        
        You can directly access popular libraries like pandas::
        
          sml.train.head()
        
        Using single commands you can perform multi-line Python operations::
        
          # Plot feature correlation graph
          sml.plot.correlate()
        
          # Plot subplots with feature distributions
          sml.plot.distribute()
        
          # Replace missing values with numerical median or most common text
          sml.feature.impute()
        
          # Perform feature selection based on model assigned importance
          sml.plot.importance()
        
        Please watch this space for more information about Speedml API including demos, sample Notebooks, and more code.
        
Keywords: machine-learning data-science jupyter-notebook
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
