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/ decomposition / _online_lda_fast.pypy3-71-x86_64-linux-gnu.so
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Expected %zd from C header, got %zd from PyObject %s.%s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject Does not understand character buffer dtype format string ('%c') sklearn/decomposition/_online_lda_fast.c %s() got multiple values for keyword argument '%U' %.200s() keywords must be strings %s() got an unexpected keyword argument '%U' Unexpected format string character: '%c' Expected a dimension of size %zu, got %zu Expected %d dimensions, got %d Python does not define a standard format string size for long double ('g').. Buffer dtype mismatch; next field is at offset %zd but %zd expected Big-endian buffer not supported on little-endian compiler Buffer acquisition: Expected '{' after 'T' Cannot handle repeated arrays in format string Expected a dimension of size %zu, got %d Expected a comma in format string, got '%c' Expected %d dimension(s), got %d Unexpected end of format string, expected ')' Buffer has wrong number of dimensions (expected %d, got %d) Item size of buffer (%zd byte%s) does not match size of '%s' (%zd byte%s) sklearn/decomposition/_online_lda_fast.pyx sklearn.decomposition._online_lda_fast.mean_change sklearn.decomposition._online_lda_fast._dirichlet_expectation_1d Cannot convert %.200s to %.200s sklearn.decomposition._online_lda_fast._dirichlet_expectation_2d Argument '%.200s' has incorrect type (expected %.200s, got %.200s) %.200s() takes %.8s %zd positional argument%.1s (%zd given) sklearn.decomposition._online_lda_fast compiletime version %s of module '%.100s' does not match runtime version %s _ARRAY_API is not PyCapsule object module compiled against ABI version 0x%x but this version of numpy is 0x%x module compiled against API version 0x%x but this version of numpy is 0x%x FATAL: module compiled as unknown endian FATAL: module compiled as little endian, but detected different endianness at runtime calling %R should have returned an instance of BaseException, not %R raise: exception class must be a subclass of BaseException init sklearn.decomposition._online_lda_fast @ ð? à?AAp??UUUUUUµ?�÷ư>¶oüxâ¿ ð¿ ÿÿÿÿÿÿÿ ;Ä @ÿÿà Pÿÿ `ÿÿp XÿÿÈ 5ÿÿ @·ÿÿ8 7ÿÿP `¸ÿÿÈ иÿÿà 0¹ÿÿ à¹ÿÿ0 ¾ÿÿÀ Àÿÿ( @Áÿÿ@ àÆÿÿ Ìÿÿ Îÿÿ pÒÿÿØ ÐÖÿÿ( ßÿÿx @àÿÿÀ Pãÿÿ0 °çÿÿ¨ zR x $ Xÿÿ FJ w ?;*3$" D @ÿÿ \ ´ÿÿx t ¶ÿÿy h¶ÿÿ DK
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Equivalent to psi(arr) - psi(np.sum(arr, axis=1))[:, np.newaxis].
Note that unlike _dirichlet_expectation_1d, this function doesn't compute
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Dirichlet expectation for a single sample:
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