data/python-bayespy-0.5.18/CHANGELOG.rst:411: swithing ==> switching
data/python-bayespy-0.5.18/versioneer.py:727: unparseable ==> unparsable
data/python-bayespy-0.5.18/versioneer.py:1095: unparseable ==> unparsable
data/python-bayespy-0.5.18/bayespy/demos/lda.py:51: stocahstic ==> stochastic
data/python-bayespy-0.5.18/bayespy/demos/lssm_sd.py:306: peform ==> perform
data/python-bayespy-0.5.18/bayespy/inference/vmp/vmp.py:409: euclidian ==> euclidean
data/python-bayespy-0.5.18/bayespy/inference/vmp/vmp.py:414: euclidian ==> euclidean
data/python-bayespy-0.5.18/bayespy/inference/vmp/vmp.py:498: euclidian ==> euclidean
data/python-bayespy-0.5.18/bayespy/inference/vmp/vmp.py:502: euclidian ==> euclidean
data/python-bayespy-0.5.18/bayespy/inference/vmp/nodes/categorical.py:165: Becase ==> Because
data/python-bayespy-0.5.18/bayespy/inference/vmp/nodes/categorical_markov_chain.py:285: Becase ==> Because
data/python-bayespy-0.5.18/bayespy/inference/vmp/nodes/concatenate.py:31: indeces ==> indices
data/python-bayespy-0.5.18/bayespy/inference/vmp/nodes/deterministic.py:303: nd ==> and, 2nd
data/python-bayespy-0.5.18/bayespy/inference/vmp/nodes/gaussian.py:1135: nd ==> and, 2nd
data/python-bayespy-0.5.18/bayespy/inference/vmp/nodes/multinomial.py:264: Becase ==> Because
data/python-bayespy-0.5.18/bayespy/tests/test_plot.py:71: comparsion ==> comparison
data/python-bayespy-0.5.18/bayespy/utils/linalg.py:131: preceeding ==> preceding, proceeding
data/python-bayespy-0.5.18/bayespy/utils/linalg.py:283: preceeding ==> preceding, proceeding
data/python-bayespy-0.5.18/bayespy/utils/misc.py:500: occurence ==> occurrence
data/python-bayespy-0.5.18/bayespy/utils/random.py:281: Seach ==> Search
data/python-bayespy-0.5.18/doc/source/dev_guide/vmp/vmp_wishart.rst:22: nD ==> and, 2nd
data/python-bayespy-0.5.18/doc/source/dev_guide/vmp/vmp_wishart.rst:64: nD ==> and, 2nd
data/python-bayespy-0.5.18/doc/source/examples/lssm.rst:138: construced ==> constructed, construed
data/python-bayespy-0.5.18/doc/source/examples/multinomial.ipynb:359: distirbution ==> distribution
data/python-bayespy-0.5.18/doc/source/examples/multinomial.ipynb:368: usign ==> using, unsign
data/python-bayespy-0.5.18/doc/source/examples/regression.ipynb:298: te ==> the, be, we
data/python-bayespy-0.5.18/doc/source/examples/regression.ipynb:298: te ==> the, be, we
data/python-bayespy-0.5.18/doc/source/examples/regression.ipynb:329: nd ==> and, 2nd
data/python-bayespy-0.5.18/doc/source/user_guide/advanced.rst:112: arithmetics ==> arithmetic
data/python-bayespy-0.5.18/doc/source/user_guide/inference.rst:265: parameterizes ==> parametrizes
data/python-bayespy-0.5.18/doc/source/user_guide/modelconstruct.rst:338: undestand ==> understand
data/python-bayespy-0.5.18/doc/source/user_guide/modelconstruct.rst:426: nd ==> and, 2nd
data/python-bayespy-0.5.18/doc/source/user_guide/modelconstruct.rst:447: nd ==> and, 2nd