Python Environment for Bayesian Learning

Related tags

Deep Learning pebl
Overview

PEBL

Pebl is a python library and command line application for learning the structure of a Bayesian network given prior knowledge and observations. Pebl includes the following features:

  • Can learn with observational and interventional data
  • Handles missing values and hidden variables using exact and heuristic methods
  • Provides several learning algorithms; makes creating new ones simple
  • Has facilities for transparent parallel execution using several cluster and cloud resources
  • Calculates edge marginals and consensus networks
  • Presents results in a variety of formats

Pebl has been developed at the Systems Biology Lab at the University of Michigan and in available under a permissive MIT-style license.

Documentation

Pebl is published in the Journal of Machine Learning Research. Please cite the paper if you use Pebl for your work. Abstract and PDF.

Documentation and tutorial in doc/src. Online version available at the Python Package Index.

You might also like...
TensorFlow implementation of
TensorFlow implementation of "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

TensorFlow implementation of "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

Final term project for Bayesian Machine Learning Lecture (XAI-623)
Final term project for Bayesian Machine Learning Lecture (XAI-623)

Mixquality_AL Final Term Project For Bayesian Machine Learning Lecture (XAI-623) Youtube Link The presentation is given in YoutubeLink Problem Formula

Code to go with the paper "Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo"

dblmahmc Code to go with the paper "Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo" Requirements: https://github.com

Code for the paper: Adversarial Machine Learning: Bayesian Perspectives

Code for the paper: Adversarial Machine Learning: Bayesian Perspectives This repository contains code for reproducing the experiments in the ** Advers

Laplace Redux -- Effortless Bayesian Deep Learning

Laplace Redux - Effortless Bayesian Deep Learning This repository contains the code to run the experiments for the paper Laplace Redux - Effortless Ba

TensorFlow implementation for Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How
TensorFlow implementation for Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How

Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How TensorFlow implementation for Bayesian Modeling and Unce

A variational Bayesian method for similarity learning in non-rigid image registration (CVPR 2022)
A variational Bayesian method for similarity learning in non-rigid image registration (CVPR 2022)

A variational Bayesian method for similarity learning in non-rigid image registration We provide the source code and the trained models used in the re

A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily. DeepMind Alchemy task environment: a meta-reinforcement learning benchmark
DeepMind Alchemy task environment: a meta-reinforcement learning benchmark

The DeepMind Alchemy environment is a meta-reinforcement learning benchmark that presents tasks sampled from a task distribution with deep underlying structure.

Comments
  • Can Import result from learn network into database or anything write to disk ?

    Can Import result from learn network into database or anything write to disk ?

    Hi,

    i just read your library, it's interesting because you say Presents results in a variety of formats, how can i export result into db or wrte to disk ?

    thx

    opened by ihsansatriawan 0
  • pebl.data.ParsingError: Cannot convert value

    pebl.data.ParsingError: Cannot convert value

    I have tried your work and follow from this https://pythonhosted.org/pebl/tutorial.html, when i tried

    >>> from pebl import data
    Couldn't import dot_parser, loading of dot files will not be possible.
    >>> from pebl import data
    >>> from pebl.learner import greedy
    >>> dataset = data.fromfile("data.txt")
    Traceback (most recent call last):
      File "<stdin>", line 1, in <module>
      File "/usr/local/lib/python2.7/dist-packages/pebl-1.0.2-py2.7-linux-x86_64.egg/pebl/data.py", line 433, in fromfile
        return fromstring(f.read())
      File "/usr/local/lib/python2.7/dist-packages/pebl-1.0.2-py2.7-linux-x86_64.egg/pebl/data.py", line 553, in fromstring
        d = N.array([[dataitem(c,v) for c,v in zip(row,variables)] for row in d]) 
      File "/usr/local/lib/python2.7/dist-packages/pebl-1.0.2-py2.7-linux-x86_64.egg/pebl/data.py", line 491, in dataitem
        raise ParsingError(msg)
    pebl.data.ParsingError: Cannot convert value 1.17  1.61  2.17  1.58  1.98  0.19  -0.47 -0.12 -1.09 0.57  0.83  0.5 to a float.
    

    how can i use your work ? thx

    opened by ihsansatriawan 0
  • crash in cpd.so

    crash in cpd.so

    Installed pebl as described in the docs. Pebl kept crashing my python interpreter. So I cloned the github repo and compiled it using XCode 4.1 on MacOSX Lion, Python 2.7.1.

    Trying to run nose tests, cpd crashes

    Below is the crash report from Mac OSX Lion


    Process: Python [25689] Path: /System/Library/Frameworks/Python.framework/Versions/2.7/Resources/Python.app/Contents/MacOS/Python Identifier: Python Version: ??? (???) Code Type: X86-64 (Native) Parent Process: zsh [25672]

    PlugIn Path: /Library/Python/2.7/site-packages/pebl-1.01-py2.7-macosx-10.7-intel.egg/pebl/_cpd.so PlugIn Identifier: _cpd.so PlugIn Version: ??? (???)

    Date/Time: 2012-01-28 15:25:22.911 -0700 OS Version: Mac OS X 10.7.2 (11C74) Report Version: 9

    Interval Since Last Report: 314008 sec Crashes Since Last Report: 38 Per-App Crashes Since Last Report: 3 Anonymous UUID: 4CBCFEFB-2DD8-4B84-A7F9-7B2BF7A711F9

    Crashed Thread: 0 Dispatch queue: com.apple.main-thread

    Exception Type: EXC_BAD_ACCESS (SIGSEGV) Exception Codes: KERN_INVALID_ADDRESS at 0x00000000711601b4

    VM Regions Near 0x711601b4: --> __TEXT 0000000105755000-0000000105756000 [ 4K] r-x/rwx SM=COW /System/Library/Frameworks/Python.framework/Versions/2.7/Resources/Python.app/Contents/MacOS/Python

    Application Specific Information: objc[25689]: garbage collection is OFF

    Thread 0 Crashed:: Dispatch queue: com.apple.main-thread 0 _cpd.so 0x00000001064a51e1 _loglikelihood + 16 1 _cpd.so 0x00000001064a54f9 loglikelihood + 64 2 org.python.python 0x00000001057e1d77 PyEval_EvalFrameEx + 13861 3 org.python.python 0x00000001057e4df7 0x10575a000 + 568823 4 org.python.python 0x00000001057e1e0a PyEval_EvalFrameEx + 14008 5 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 6 org.python.python 0x0000000105782abf 0x10575a000 + 166591 7 org.python.python 0x0000000105761d32 PyObject_Call + 97 8 org.python.python 0x00000001057706e9 0x10575a000 + 91881 9 org.python.python 0x0000000105761d32 PyObject_Call + 97 10 org.python.python 0x00000001057abc5d 0x10575a000 + 334941 11 org.python.python 0x0000000105761d32 PyObject_Call + 97 12 org.python.python 0x00000001057e1f63 PyEval_EvalFrameEx + 14353 13 org.python.python 0x00000001057e4df7 0x10575a000 + 568823 14 org.python.python 0x00000001057e1e0a PyEval_EvalFrameEx + 14008 15 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 16 org.python.python 0x00000001057e4e6c 0x10575a000 + 568940 17 org.python.python 0x00000001057e1e0a PyEval_EvalFrameEx + 14008 18 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 19 org.python.python 0x00000001057e4e6c 0x10575a000 + 568940 20 org.python.python 0x00000001057e1e0a PyEval_EvalFrameEx + 14008 21 org.python.python 0x00000001057e4df7 0x10575a000 + 568823 22 org.python.python 0x00000001057e1e0a PyEval_EvalFrameEx + 14008 23 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 24 org.python.python 0x0000000105782abf 0x10575a000 + 166591 25 org.python.python 0x0000000105761d32 PyObject_Call + 97 26 org.python.python 0x00000001057e25ec PyEval_EvalFrameEx + 16026 27 org.python.python 0x00000001057e4df7 0x10575a000 + 568823 28 org.python.python 0x00000001057e1e0a PyEval_EvalFrameEx + 14008 29 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 30 org.python.python 0x0000000105782abf 0x10575a000 + 166591 31 org.python.python 0x0000000105761d32 PyObject_Call + 97 32 org.python.python 0x00000001057e25ec PyEval_EvalFrameEx + 16026 33 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 34 org.python.python 0x0000000105782abf 0x10575a000 + 166591 35 org.python.python 0x0000000105761d32 PyObject_Call + 97 36 org.python.python 0x00000001057706e9 0x10575a000 + 91881 37 org.python.python 0x0000000105761d32 PyObject_Call + 97 38 org.python.python 0x00000001057abc5d 0x10575a000 + 334941 39 org.python.python 0x0000000105761d32 PyObject_Call + 97 40 org.python.python 0x00000001057e1f63 PyEval_EvalFrameEx + 14353 41 org.python.python 0x00000001057e4df7 0x10575a000 + 568823 42 org.python.python 0x00000001057e1e0a PyEval_EvalFrameEx + 14008 43 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 44 org.python.python 0x0000000105782abf 0x10575a000 + 166591 45 org.python.python 0x0000000105761d32 PyObject_Call + 97 46 org.python.python 0x00000001057e25ec PyEval_EvalFrameEx + 16026 47 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 48 org.python.python 0x0000000105782abf 0x10575a000 + 166591 49 org.python.python 0x0000000105761d32 PyObject_Call + 97 50 org.python.python 0x00000001057706e9 0x10575a000 + 91881 51 org.python.python 0x0000000105761d32 PyObject_Call + 97 52 org.python.python 0x00000001057abc5d 0x10575a000 + 334941 53 org.python.python 0x0000000105761d32 PyObject_Call + 97 54 org.python.python 0x00000001057e1f63 PyEval_EvalFrameEx + 14353 55 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 56 org.python.python 0x0000000105782abf 0x10575a000 + 166591 57 org.python.python 0x0000000105761d32 PyObject_Call + 97 58 org.python.python 0x00000001057e25ec PyEval_EvalFrameEx + 16026 59 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 60 org.python.python 0x0000000105782abf 0x10575a000 + 166591 61 org.python.python 0x0000000105761d32 PyObject_Call + 97 62 org.python.python 0x00000001057706e9 0x10575a000 + 91881 63 org.python.python 0x0000000105761d32 PyObject_Call + 97 64 org.python.python 0x00000001057abc5d 0x10575a000 + 334941 65 org.python.python 0x0000000105761d32 PyObject_Call + 97 66 org.python.python 0x00000001057e1f63 PyEval_EvalFrameEx + 14353 67 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 68 org.python.python 0x0000000105782abf 0x10575a000 + 166591 69 org.python.python 0x0000000105761d32 PyObject_Call + 97 70 org.python.python 0x00000001057e25ec PyEval_EvalFrameEx + 16026 71 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 72 org.python.python 0x0000000105782abf 0x10575a000 + 166591 73 org.python.python 0x0000000105761d32 PyObject_Call + 97 74 org.python.python 0x00000001057706e9 0x10575a000 + 91881 75 org.python.python 0x0000000105761d32 PyObject_Call + 97 76 org.python.python 0x00000001057abc5d 0x10575a000 + 334941 77 org.python.python 0x0000000105761d32 PyObject_Call + 97 78 org.python.python 0x00000001057e1f63 PyEval_EvalFrameEx + 14353 79 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 80 org.python.python 0x0000000105782abf 0x10575a000 + 166591 81 org.python.python 0x0000000105761d32 PyObject_Call + 97 82 org.python.python 0x00000001057e25ec PyEval_EvalFrameEx + 16026 83 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 84 org.python.python 0x0000000105782abf 0x10575a000 + 166591 85 org.python.python 0x0000000105761d32 PyObject_Call + 97 86 org.python.python 0x00000001057706e9 0x10575a000 + 91881 87 org.python.python 0x0000000105761d32 PyObject_Call + 97 88 org.python.python 0x00000001057abc5d 0x10575a000 + 334941 89 org.python.python 0x0000000105761d32 PyObject_Call + 97 90 org.python.python 0x00000001057e1f63 PyEval_EvalFrameEx + 14353 91 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 92 org.python.python 0x0000000105782abf 0x10575a000 + 166591 93 org.python.python 0x0000000105761d32 PyObject_Call + 97 94 org.python.python 0x00000001057e25ec PyEval_EvalFrameEx + 16026 95 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 96 org.python.python 0x0000000105782abf 0x10575a000 + 166591 97 org.python.python 0x0000000105761d32 PyObject_Call + 97 98 org.python.python 0x00000001057706e9 0x10575a000 + 91881 99 org.python.python 0x0000000105761d32 PyObject_Call + 97 100 org.python.python 0x00000001057abc5d 0x10575a000 + 334941 101 org.python.python 0x0000000105761d32 PyObject_Call + 97 102 org.python.python 0x00000001057e1f63 PyEval_EvalFrameEx + 14353 103 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 104 org.python.python 0x0000000105782abf 0x10575a000 + 166591 105 org.python.python 0x0000000105761d32 PyObject_Call + 97 106 org.python.python 0x00000001057e25ec PyEval_EvalFrameEx + 16026 107 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 108 org.python.python 0x0000000105782abf 0x10575a000 + 166591 109 org.python.python 0x0000000105761d32 PyObject_Call + 97 110 org.python.python 0x00000001057706e9 0x10575a000 + 91881 111 org.python.python 0x0000000105761d32 PyObject_Call + 97 112 org.python.python 0x00000001057abc5d 0x10575a000 + 334941 113 org.python.python 0x0000000105761d32 PyObject_Call + 97 114 org.python.python 0x00000001057e1f63 PyEval_EvalFrameEx + 14353 115 org.python.python 0x00000001057e4df7 0x10575a000 + 568823 116 org.python.python 0x00000001057e1e0a PyEval_EvalFrameEx + 14008 117 org.python.python 0x00000001057e4df7 0x10575a000 + 568823 118 org.python.python 0x00000001057e1e0a PyEval_EvalFrameEx + 14008 119 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 120 org.python.python 0x0000000105782abf 0x10575a000 + 166591 121 org.python.python 0x0000000105761d32 PyObject_Call + 97 122 org.python.python 0x00000001057706e9 0x10575a000 + 91881 123 org.python.python 0x0000000105761d32 PyObject_Call + 97 124 org.python.python 0x00000001057e25ec PyEval_EvalFrameEx + 16026 125 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 126 org.python.python 0x0000000105782abf 0x10575a000 + 166591 127 org.python.python 0x0000000105761d32 PyObject_Call + 97 128 org.python.python 0x00000001057706e9 0x10575a000 + 91881 129 org.python.python 0x0000000105761d32 PyObject_Call + 97 130 org.python.python 0x00000001057ac484 0x10575a000 + 337028 131 org.python.python 0x00000001057a6b7a 0x10575a000 + 314234 132 org.python.python 0x0000000105761d32 PyObject_Call + 97 133 org.python.python 0x00000001057e1f63 PyEval_EvalFrameEx + 14353 134 org.python.python 0x00000001057e4cd8 PyEval_EvalCodeEx + 1996 135 org.python.python 0x00000001057e4d4d PyEval_EvalCode + 54 136 org.python.python 0x00000001057fc08f 0x10575a000 + 663695 137 org.python.python 0x00000001057fc14f PyRun_FileExFlags + 157 138 org.python.python 0x00000001057fd2a2 PyRun_SimpleFileExFlags + 392 139 org.python.python 0x000000010580d2af Py_Main + 2715 140 org.python.python 0x0000000105755e88 0x105755000 + 3720

    Thread 0 crashed with X86 Thread State (64-bit): rax: 0x00007f95710c5f80 rbx: 0x00000001065d6e60 rcx: 0x0000000000000008 rdx: 0x0000000000000000 rdi: 0x00000000711601a0 rsi: 0x00007f957100bd80 rbp: 0x00007fff6534e710 rsp: 0x00007fff6534e708 r8: 0x00007fff6534e500 r9: 0x0000000000000100 r10: 0x0000000000000000 r11: 0x00000000bf111902 r12: 0x0000000105a0a030 r13: 0x00000001065d4c50 r14: 0x0000000000000002 r15: 0x00000001063bf170 rip: 0x00000001064a51e1 rfl: 0x0000000000010202 cr2: 0x00000000711601b4 Logical CPU: 0

    Binary Images: 0x105755000 - 0x105755fff org.python.python (2.7.1 - 2.7.1) /System/Library/Frameworks/Python.framework/Versions/2.7/Resources/Python.app/Contents/MacOS/Python 0x10575a000 - 0x105875ff7 org.python.python (2.7.1 - 2.7.1) /System/Library/Frameworks/Python.framework/Versions/2.7/Python 0x1059eb000 - 0x1059ecfff time.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/time.so 0x1059f3000 - 0x1059f6fff strop.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/strop.so 0x1059fb000 - 0x1059fbfff _bisect.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/_bisect.so 0x105c00000 - 0x105c02ff7 binascii.so (??? - ???) <9B353DAC-B0E8-3B4B-91A1-50F6F86AA928> /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/binascii.so 0x105c06000 - 0x105c11ff7 datetime.so (??? - ???) <9EC1E3BD-3BD3-3B39-AE19-448CCEEA747A> /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/datetime.so 0x105c1a000 - 0x105c1bfff cStringIO.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/cStringIO.so 0x105c20000 - 0x105c26fff pyexpat.so (??? - ???) <0E02E7DD-AC97-38B5-BB3B-856249DEBFF9> /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/pyexpat.so 0x105cad000 - 0x105cb0fff _collections.so (??? - ???) <62C1B5B7-654D-397A-8840-7EBB907DBCA1> /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/_collections.so 0x105cb6000 - 0x105cb9fff operator.so (??? - ???) <59A152D0-52ED-354C-9C2D-D7390E3EC216> /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/operator.so 0x105cbf000 - 0x105cc5fff itertools.so (??? - ???) <7C8350B9-8DD3-377A-A5C1-1103A6C955A6> /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/itertools.so 0x105cce000 - 0x105ccffff _heapq.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/_heapq.so 0x105cd4000 - 0x105cd5fff _functools.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/_functools.so 0x105e19000 - 0x105e1afff _locale.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/_locale.so 0x105e1e000 - 0x105e22fff _struct.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/_struct.so 0x106128000 - 0x106130fff parser.so (??? - ???) <2E88032A-DFD4-38F0-BE83-03DA706702B1> /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/parser.so 0x106135000 - 0x106141fff cPickle.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/cPickle.so 0x106147000 - 0x10614afff _multiprocessing.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/_multiprocessing.so 0x10614f000 - 0x106155ff7 _socket.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/_socket.so 0x10615d000 - 0x106161fff _ssl.so (??? - ???) <50FC05D5-0434-3054-9C09-CA8923FED0C0> /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/_ssl.so 0x106267000 - 0x10626cfff math.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/math.so 0x106272000 - 0x106273fff _hashlib.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/_hashlib.so 0x106277000 - 0x106278ff7 _random.so (??? - ???) <3C7A7C17-1698-32D0-BF09-F50A19F75E4B> /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/_random.so 0x10627c000 - 0x10627dfff fcntl.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/fcntl.so 0x106281000 - 0x106284fff _hotshot.so (??? - ???) <81615FD1-94AE-3626-9406-027F87CF23E2> /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/_hotshot.so 0x10628a000 - 0x10628bfff resource.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/resource.so 0x10628f000 - 0x10628ffff _scproxy.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/_scproxy.so 0x106293000 - 0x1062faff7 multiarray.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy/core/multiarray.so 0x106310000 - 0x10634cfff umath.so (??? - ???) <3E237710-FADE-39CA-9DF5-7D364E216CCC> /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy/core/umath.so 0x106359000 - 0x10636afff _sort.so (??? - ???) <18194908-8C50-34B9-9A9B-FF5FB2A02A76> /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy/core/_sort.so 0x10636e000 - 0x106371ff7 _dotblas.so (??? - ???) <84ED3681-D12A-3D8A-8E23-0A070E6A77B1> /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy/core/_dotblas.so 0x106375000 - 0x106392ff7 scalarmath.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy/core/scalarmath.so 0x106398000 - 0x10639afff _compiled_base.so (??? - ???) <572570AE-EC8E-314D-BBDE-931DAA393B42> /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy/lib/_compiled_base.so 0x10639e000 - 0x1063a1fff lapack_lite.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy/linalg/lapack_lite.so 0x1063a5000 - 0x1063a5fff grp.so (??? - ???) <563EC9A6-F38F-3518-9BBB-912E9F01FDA1> /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/grp.so 0x1063a9000 - 0x1063b2fff fftpack_lite.so (??? - ???) <58576CB4-4C17-35B3-94BA-A032F18912E6> /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy/fft/fftpack_lite.so 0x1063f6000 - 0x10642fff7 mtrand.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy/random/mtrand.so 0x106452000 - 0x106463fff _ctypes.so (??? - ???) <2D2AE6AF-704A-3CBB-954B-33BA49B78254> /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/_ctypes.so 0x1064a4000 - 0x1064a5fff +_cpd.so (??? - ???) <0862AB5A-53E1-3CD5-A436-4BA8FBCDAB1F> /Library/Python/2.7/site-packages/pebl-1.01-py2.7-macosx-10.7-intel.egg/pebl/_cpd.so 0x1064e8000 - 0x1064eafff zlib.so (??? - ???) <81E54FCE-EEAC-3E97-BB05-1143EB6AECA6> /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/zlib.so 0x1064ef000 - 0x1064f1fff select.so (??? - ???) /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload/select.so 0x106577000 - 0x106577fff +_network.so (??? - ???) <16F5651A-BCD9-3A13-B802-9AAD8A2EF445> /Library/Python/2.7/site-packages/pebl-1.01-py2.7-macosx-10.7-intel.egg/pebl/_network.so 0x7fff65355000 - 0x7fff65389ac7 dyld (195.5 - ???) <4A6E2B28-C7A2-3528-ADB7-4076B9836041> /usr/lib/dyld 0x7fff8d06f000 - 0x7fff8d074fff libcache.dylib (47.0.0 - compatibility 1.0.0) /usr/lib/system/libcache.dylib 0x7fff8d246000 - 0x7fff8d352fff libcrypto.0.9.8.dylib (44.0.0 - compatibility 0.9.8) <3A8E1F89-5E26-3C8B-B538-81F5D61DBF8A> /usr/lib/libcrypto.0.9.8.dylib 0x7fff8dbe6000 - 0x7fff8dccadef libobjc.A.dylib (228.0.0 - compatibility 1.0.0) /usr/lib/libobjc.A.dylib 0x7fff8dce0000 - 0x7fff8dcfbfff libexpat.1.dylib (7.2.0 - compatibility 7.0.0) /usr/lib/libexpat.1.dylib 0x7fff8dd46000 - 0x7fff8dd63ff7 libxpc.dylib (77.17.0 - compatibility 1.0.0) <72A16104-2F23-3C22-B474-1953F06F9376> /usr/lib/system/libxpc.dylib 0x7fff8e5a1000 - 0x7fff8e5a6ff7 libsystem_network.dylib (??? - ???) <5DE7024E-1D2D-34A2-80F4-08326331A75B> /usr/lib/system/libsystem_network.dylib 0x7fff8eac2000 - 0x7fff8ec96fff com.apple.CoreFoundation (6.7.1 - 635.15) /System/Library/Frameworks/CoreFoundation.framework/Versions/A/CoreFoundation 0x7fff8ed5f000 - 0x7fff8ed69ff7 liblaunch.dylib (392.18.0 - compatibility 1.0.0) <39EF04F2-7F0C-3435-B785-BF283727FFBD> /usr/lib/system/liblaunch.dylib 0x7fff8ee77000 - 0x7fff8ee78fff libDiagnosticMessagesClient.dylib (??? - ???) <3DCF577B-F126-302B-BCE2-4DB9A95B8598> /usr/lib/libDiagnosticMessagesClient.dylib 0x7fff8ee79000 - 0x7fff8eec7fff libauto.dylib (??? - ???) /usr/lib/libauto.dylib 0x7fff90087000 - 0x7fff900e7fff libvDSP.dylib (325.4.0 - compatibility 1.0.0) <3A7521E6-5510-3FA7-AB65-79693A7A5839> /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libvDSP.dylib 0x7fff900e8000 - 0x7fff900e9fff libunc.dylib (24.0.0 - compatibility 1.0.0) /usr/lib/system/libunc.dylib 0x7fff90f09000 - 0x7fff90f7eff7 libc++.1.dylib (19.0.0 - compatibility 1.0.0) /usr/lib/libc++.1.dylib 0x7fff90fad000 - 0x7fff910e6fef com.apple.vImage (5.1 - 5.1) /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vImage.framework/Versions/A/vImage 0x7fff9113c000 - 0x7fff91140fff libmathCommon.A.dylib (2026.0.0 - compatibility 1.0.0) /usr/lib/system/libmathCommon.A.dylib 0x7fff9137d000 - 0x7fff9138fff7 libz.1.dylib (1.2.5 - compatibility 1.0.0) <30CBEF15-4978-3DED-8629-7109880A19D4> /usr/lib/libz.1.dylib 0x7fff929e8000 - 0x7fff929e8fff com.apple.Accelerate.vecLib (3.7 - vecLib 3.7) /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/vecLib 0x7fff929e9000 - 0x7fff929ebfff libquarantine.dylib (36.0.0 - compatibility 1.0.0) <4C3BFBC7-E592-3939-B376-1C2E2D7C5389> /usr/lib/system/libquarantine.dylib 0x7fff92a27000 - 0x7fff92a27fff libkeymgr.dylib (23.0.0 - compatibility 1.0.0) <61EFED6A-A407-301E-B454-CD18314F0075> /usr/lib/system/libkeymgr.dylib 0x7fff92a2d000 - 0x7fff92ac3ff7 libvMisc.dylib (325.4.0 - compatibility 1.0.0) <642D8D54-F9F5-3FBB-A96C-EEFE94C6278B> /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libvMisc.dylib 0x7fff92bcb000 - 0x7fff92c06ff7 libsystem_info.dylib (??? - ???) <9C8C2DCB-96DB-3471-9DCE-ADCC26BE2DD4> /usr/lib/system/libsystem_info.dylib 0x7fff92ca4000 - 0x7fff92d81fef libsystem_c.dylib (763.12.0 - compatibility 1.0.0) /usr/lib/system/libsystem_c.dylib 0x7fff92d82000 - 0x7fff92d89fff libcopyfile.dylib (85.1.0 - compatibility 1.0.0) <172B1985-F24A-34E9-8D8B-A2403C9A0399> /usr/lib/system/libcopyfile.dylib 0x7fff92dbd000 - 0x7fff92dc1fff libdyld.dylib (195.5.0 - compatibility 1.0.0) /usr/lib/system/libdyld.dylib 0x7fff92e01000 - 0x7fff92e07ff7 libunwind.dylib (30.0.0 - compatibility 1.0.0) <1E9C6C8C-CBE8-3F4B-A5B5-E03E3AB53231> /usr/lib/system/libunwind.dylib 0x7fff92f84000 - 0x7fff92fa4fff libsystem_kernel.dylib (1699.22.73 - compatibility 1.0.0) <69F2F501-72D8-3B3B-8357-F4418B3E1348> /usr/lib/system/libsystem_kernel.dylib 0x7fff9320a000 - 0x7fff93212fff libsystem_dnssd.dylib (??? - ???) <7749128E-D0C5-3832-861C-BC9913F774FA> /usr/lib/system/libsystem_dnssd.dylib 0x7fff932a0000 - 0x7fff932a5fff libcompiler_rt.dylib (6.0.0 - compatibility 1.0.0) <98ECD5F6-E85C-32A5-98CD-8911230CB66A> /usr/lib/system/libcompiler_rt.dylib 0x7fff946f7000 - 0x7fff94b24fff libLAPACK.dylib (??? - ???) <4F2E1055-2207-340B-BB45-E4F16171EE0D> /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libLAPACK.dylib 0x7fff9501f000 - 0x7fff95020fff libsystem_sandbox.dylib (??? - ???) <8D14139B-B671-35F4-9E5A-023B4C523C38> /usr/lib/system/libsystem_sandbox.dylib 0x7fff953a0000 - 0x7fff953a1fff libdnsinfo.dylib (395.6.0 - compatibility 1.0.0) <718A135F-6349-354A-85D5-430B128EFD57> /usr/lib/system/libdnsinfo.dylib 0x7fff957f5000 - 0x7fff95840ff7 com.apple.SystemConfiguration (1.11.1 - 1.11) /System/Library/Frameworks/SystemConfiguration.framework/Versions/A/SystemConfiguration 0x7fff95b63000 - 0x7fff95b64ff7 libsystem_blocks.dylib (53.0.0 - compatibility 1.0.0) <8BCA214A-8992-34B2-A8B9-B74DEACA1869> /usr/lib/system/libsystem_blocks.dylib 0x7fff96734000 - 0x7fff96742fff libdispatch.dylib (187.7.0 - compatibility 1.0.0) <712AAEAC-AD90-37F7-B71F-293FF8AE8723> /usr/lib/system/libdispatch.dylib 0x7fff972dd000 - 0x7fff972e3fff libmacho.dylib (800.0.0 - compatibility 1.0.0) /usr/lib/system/libmacho.dylib 0x7fff972f4000 - 0x7fff978d8fff libBLAS.dylib (??? - ???) /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib 0x7fff978d9000 - 0x7fff978daff7 libremovefile.dylib (21.0.0 - compatibility 1.0.0) /usr/lib/system/libremovefile.dylib 0x7fff97c53000 - 0x7fff97c95ff7 libcommonCrypto.dylib (55010.0.0 - compatibility 1.0.0) /usr/lib/system/libcommonCrypto.dylib 0x7fff97cbe000 - 0x7fff97cc7ff7 libsystem_notify.dylib (80.1.0 - compatibility 1.0.0) /usr/lib/system/libsystem_notify.dylib 0x7fff97d82000 - 0x7fff97daffe7 libSystem.B.dylib (159.1.0 - compatibility 1.0.0) <095FDD3C-3961-3865-A59B-A5B0A4B8B923> /usr/lib/libSystem.B.dylib 0x7fff97db0000 - 0x7fff97de9fe7 libssl.0.9.8.dylib (44.0.0 - compatibility 0.9.8) <79AAEC98-1258-3DA4-B1C0-4120049D390B> /usr/lib/libssl.0.9.8.dylib 0x7fff9814c000 - 0x7fff9814efff com.apple.TrustEvaluationAgent (2.0 - 1) <1F31CAFF-C1C6-33D3-94E9-11B721761DDF> /System/Library/PrivateFrameworks/TrustEvaluationAgent.framework/Versions/A/TrustEvaluationAgent 0x7fff98296000 - 0x7fff98498fff libicucore.A.dylib (46.1.0 - compatibility 1.0.0) <38CD6ED3-C8E4-3CCD-89AC-9C3198803101> /usr/lib/libicucore.A.dylib 0x7fff984e3000 - 0x7fff98556fff libstdc++.6.dylib (52.0.0 - compatibility 7.0.0) <6BDD43E4-A4B1-379E-9ED5-8C713653DFF2> /usr/lib/libstdc++.6.dylib 0x7fff98557000 - 0x7fff98557fff com.apple.Accelerate (1.7 - Accelerate 1.7) <82DDF6F5-FBC3-323D-B71D-CF7ABC5CF568> /System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate 0x7fff994b2000 - 0x7fff994b3fff libffi.dylib (??? - ???) /usr/lib/libffi.dylib 0x7fff994b9000 - 0x7fff994c4ff7 libc++abi.dylib (14.0.0 - compatibility 1.0.0) <8FF3D766-D678-36F6-84AC-423C878E6D14> /usr/lib/libc++abi.dylib

    External Modification Summary: Calls made by other processes targeting this process: task_for_pid: 0 thread_create: 0 thread_set_state: 0 Calls made by this process: task_for_pid: 0 thread_create: 0 thread_set_state: 0 Calls made by all processes on this machine: task_for_pid: 28259 thread_create: 2 thread_set_state: 0

    VM Region Summary: ReadOnly portion of Libraries: Total=73.4M resident=22.4M(31%) swapped_out_or_unallocated=51.0M(69%) Writable regions: Total=32.1M written=13.7M(43%) resident=17.8M(55%) swapped_out=0K(0%) unallocated=14.3M(45%)

    REGION TYPE VIRTUAL =========== ======= MALLOC 23.5M MALLOC guard page 32K STACK GUARD 56.0M Stack 8192K VM_ALLOCATE 8K __DATA 2008K __LINKEDIT 48.1M __TEXT 25.3M __UNICODE 544K shared memory 12K =========== ======= TOTAL 163.5M

    Model: MacBook2,1, BootROM MB21.00A5.B07, 2 processors, Intel Core 2 Duo, 2 GHz, 2 GB, SMC 1.13f3 Graphics: Intel GMA 950, GMA 950, Built-In, spdisplays_integrated_vram Memory Module: BANK 0/DIMM0, 1 GB, DDR2 SDRAM, 667 MHz, 0x2CFFFFFFFFFFFFFF, 0x3848544631323836344844592D3636374531 Memory Module: BANK 1/DIMM1, 1 GB, DDR2 SDRAM, 667 MHz, 0x2CFFFFFFFFFFFFFF, 0x3848544631323836344844592D3636374531 AirPort: spairport_wireless_card_type_airport_extreme (0x168C, 0x87), Atheros 5416: 2.1.14.9 Bluetooth: Version 4.0.1f4, 2 service, 11 devices, 1 incoming serial ports Network Service: Wi-Fi, AirPort, en1 Serial ATA Device: SAMSUNG HN-M500MBB, 500.11 GB Parallel ATA Device: HL-DT-ST DVDRW GWA4080MA USB Device: Built-in iSight, apple_vendor_id, 0x8501, 0xfd400000 / 3 USB Device: Apple Internal Keyboard / Trackpad, apple_vendor_id, 0x021a, 0x1d200000 / 2 USB Device: IR Receiver, apple_vendor_id, 0x8240, 0x5d200000 / 2 USB Device: Bluetooth USB Host Controller, apple_vendor_id, 0x8205, 0x7d100000 / 2


    opened by ayr0 2
Owner
Abhik Shah
Abhik Shah
Bayesian-Torch is a library of neural network layers and utilities extending the core of PyTorch to enable the user to perform stochastic variational inference in Bayesian deep neural networks

Bayesian-Torch is a library of neural network layers and utilities extending the core of PyTorch to enable the user to perform stochastic variational inference in Bayesian deep neural networks. Bayesian-Torch is designed to be flexible and seamless in extending a deterministic deep neural network architecture to corresponding Bayesian form by simply replacing the deterministic layers with Bayesian layers.

Intel Labs 210 Jan 4, 2023
LBK 20 Dec 2, 2022
Reinforcement Learning with Q-Learning Algorithm on gym's frozen lake environment implemented in python

Reinforcement Learning with Q Learning Algorithm Q learning algorithm is trained on the gym's frozen lake environment. Libraries Used gym Numpy tqdm P

null 1 Nov 10, 2021
​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

TextWorld A text-based game generator and extensible sandbox learning environment for training and testing reinforcement learning (RL) agents. Also ch

Microsoft 983 Dec 23, 2022
Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.

pgmpy pgmpy is a python library for working with Probabilistic Graphical Models. Documentation and list of algorithms supported is at our official sit

pgmpy 2.2k Jan 3, 2023
Python package for Bayesian Machine Learning with scikit-learn API

Python package for Bayesian Machine Learning with scikit-learn API Installing & Upgrading package pip install https://github.com/AmazaspShumik/sklearn

Amazasp Shaumyan 482 Jan 4, 2023
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

PyVarInf PyVarInf provides facilities to easily train your PyTorch neural network models using variational inference. Bayesian Deep Learning with Vari

null 342 Dec 2, 2022
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Aboleth A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation [1] with stochastic gradient variational Bayes

Gradient Institute 127 Dec 12, 2022
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs

Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs This is an implemetation of the paper Few-shot Relation Extraction via Baye

MilaGraph 36 Nov 22, 2022