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‎docs/.buildinfo

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# Sphinx build info version 1
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# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: b60ead7db2a2a1e95459b22ec2cb783c
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config: e5348f79dd5ab46a199baa607858f4a9
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tags: 645f666f9bcd5a90fca523b33c5a78b7

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‎docs/_downloads/dde96c6cfd6ff506f5048a5c797653e4/kalman_filter.py

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from progpy import LinearModel
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from progpy.state_estimators import KalmanFilter
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# Linear Model for an object thrown into the air
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class ThrownObject(LinearModel):
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"""

‎docs/_sources/index.rst

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Use the following to cite this repository:
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@misc{2023_nasa_progpy,
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| author = {Christopher Teubert and Katelyn Jarvis Griffith and Matteo Corbetta and Chetan Kulkarni and Portia Banerjee and Matthew Daigle},
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| author = {Christopher Teubert and Katelyn Jarvis Griffith and Matteo Corbetta and Chetan Kulkarni and Portia Banerjee and Jason Watkins and Matthew Daigle},
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| title = {{ProgPy Python Prognostics Packages}},
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| month = Oct,
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| year = 2023,
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The corresponding reference should look like this:
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C. Teubert, K. Jarvis Griffith, M. Corbetta, C. Kulkarni, P. Banerjee, M. Daigle, ProgPy Python Prognostics Packages, v1.6, Oct 2023. URL https://github.com/nasa/progpy.
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C. Teubert, K. Jarvis Griffith, M. Corbetta, C. Kulkarni, P. Banerjee, J. Watkins, M. Daigle, ProgPy Python Prognostics Packages, v1.6, Oct 2023. URL https://github.com/nasa/progpy.
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Contributing and Partnering
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-----------------------------

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