Metadata-Version: 2.1
Name: spacekit
Version: 0.1.4
Summary: Python wrapper for the CircleCI API
Home-page: https://github.com/hakkeray/spacekit
Author: Ru Keïn
Author-email: hakkeray@gmail.com
License: MIT
Description: # spacekit
        PyPi Machine Learning Utility Package for Astrophysical Data Science
        
        ```python
        spacekit
        └── spacekit_pkg
            └── __init__.py
            └── analyzer.py
            └── builder.py
            └── computer.py
            └── radio.py
            └── transformer.py
        └── setup.py
        └── tests
        └── LICENSE
        └── README.md
        ```
        
        - Radio: downloading data from MAST s3 bucket on AWS
            - mast_aws: downlaods fits files for list of kepler/TESS targets
        
        - Analyzer: flux-timeseries signal analysis
            - atomic_vector_plotter: Plots scatter and line plots of time series signal values.
            - make_specgram: generate and save spectographs of flux signal frequencies
            - planet_hunter: calculate period, plot folded lightcurve from .fits files
        
        - Transformer: tools for converting and preprocessing signals as numpy arrays
            - hypersonic_pliers: 
            - thermo_fusion_chisel: 
            - babel_fish_dispenser: adds a 1D uniform noise filter using timesteps
            - fast_fourier: fast fourier transform utility function
        
        - Builder: building and fitting convolutional neural networks
            - build_cnn: builds keras 1D CNN architecture
            - fit_cnn: trains keras CNN
        
        - Computer: gets model predictions and evaluates metrics
            - get_preds
            - fnfp
            - keras_history
            - roc_plots
            - compute
        
        
        ## spacekit.Radio()
        downloading data from MAST s3 bucket on AWS
        
        ### mast_aws()
        
        ```python
        from spacekit import radio
        target_list = ['K2-66','K2-100','K2-27']
        R = Radio()
        R.mast_aws(target_list)
        ```
        
        ## spacekit.Analyzer()
        flux-timeseries signal analysis
        
        ### atomic_vector_plotter
        Plots scatter and line plots of time series signal values.
        
        ```python
        from spacekit import analyzer
        signal = array([  93.85,   83.81,   20.1 ,  -26.98,  -39.56, -124.71, -135.18,
                -96.27,  -79.89, -160.17, -207.47, -154.88, -173.71, -146.56,
               -120.26, -102.85,  -98.71,  -48.42,  -86.57,   -0.84,  -25.85,
                -67.39,  -36.55,  -87.01,  -97.72, -131.59, -134.8 , -186.97,
               -244.32, -225.76, -229.6 , -253.48, -145.74, -145.74,   30.47,
               -173.39, -187.56, -192.88, -182.76, -195.99, -317.51, -167.69,
                -56.86,    7.56,   37.4 ,  -81.13,  -20.1 ,  -30.34, -320.48,
               -320.48, -287.72, -351.25,  -70.07, -194.34, -106.47,  -14.8 ,
                 63.13,  130.03,   76.43,  131.9 , -193.16, -193.16,  -89.26,
                -17.56,  -17.31,  125.62,   68.87,  100.01,   -9.6 ,  -25.39,
                -16.51,  -78.07, -102.15, -102.15,   25.13,   48.57,   92.54,
                 39.32,   61.42,    5.08,  -39.54])
        A = Analyzer()
        A.atomic_vector_plotter(signal)
        ```
        
        ### make_specgram
        generate and save spectographs of flux signal frequencies
        
        ```python
        A = Analyzer()
        spec = A.make_specgram(signal)
        
        ```
        
        ### planet_hunter
        calculates period and plots folded light curve from single or multiple .fits files
        
        ```python
        A = Analyzer()
        data = './DATA/mast/'
        files = os.listdir(data)
        f9 =files[9]
        A.planet_hunter(f9, fmt='kepler.fits')
        ```
        
        ## spacekit.Transformer()
        tools for converting and preprocessing signals as numpy arrays
        
        ### hypersonic_pliers
        
        ### thermo_fusion_chisel
        
        ### babel_fish_dispenser
        
        ### fast_fourier
        
        ## spacekit.Builder()
        building and fitting convolutional neural networks
        
        ### build_cnn
        
        ### fit_cnn
        
        ## spacekit.Computer()
        gets model predictions and evaluates metrics
        
        ### get_preds
        
        ### fnfp
        
        ### keras_history
        
        ### fusion_matrix
        
        ### roc_plots
        
        ### compute
        
        
Keywords: spacekit spkt ml ai api sdk
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
