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Update dtmmodel.py #806

Merged
merged 6 commits into from
Aug 11, 2016
Merged

Update dtmmodel.py #806

merged 6 commits into from
Aug 11, 2016

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Eickho
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@Eickho Eickho commented Jul 25, 2016

Adds a check if any documents in the supplied corpus are empty, which breaks the DIM model without providing a usable error description to the user. It should be noted that this only seems to cause errors with the DIM model and not the DTM model. However, I don't think there is any upside to having empty documents in the DTM anyway?

Adds a check if any documents in the supplied corpus are empty, which breaks the DIM model without providing a usable error description to the user.
@bhargavvader
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Yeah, this is a documented problem with the DIM code. This should be useful.

@piskvorky piskvorky added the bug Issue described a bug label Jul 27, 2016
@@ -93,6 +93,9 @@ def __init__(
lencorpus = sum(1 for _ in corpus)
if lencorpus == 0:
raise ValueError("cannot compute DTM over an empty corpus")
if any([i == 0 for i in [len(text) for text in corpus.get_texts()]]):
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should it be and model=='fixed' as well?

@tmylk
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tmylk commented Aug 5, 2016

@Eickho Thanks for the PR. Please add a changelog and a check to only affect model=='fixed'

@bhargavvader
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@Eickho will you be taking this up?

Adds a check for empty (not a single word) documents in the corpus supplied to the DTM implementation only if the DIM mode (model = "fixed") is used.
@@ -93,6 +93,9 @@ def __init__(
lencorpus = sum(1 for _ in corpus)
if lencorpus == 0:
raise ValueError("cannot compute DTM over an empty corpus")
if any([i == 0 for i in [len(text) for text in corpus.get_texts()]]) and model == "fixed:
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@bhargavvader bhargavvader Aug 10, 2016

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@Eickho, Wouldn't it be better to do if model == "fixed" and any([i == 0 for i in [len(text) for text in corpus.get_texts()]]):
so that it won't bother checking the condition if it isn't in fixed mode?

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Yes that would be better, updating.

Inversed conditions as proposed by @bhargavvader
Added description of check for empty (no words) documents in the DIM mode of the DTM wrapper.
Added issue no.
@tmylk tmylk merged commit d234b3c into piskvorky:develop Aug 11, 2016
@@ -93,6 +93,9 @@ def __init__(
lencorpus = sum(1 for _ in corpus)
if lencorpus == 0:
raise ValueError("cannot compute DTM over an empty corpus")
if model == "fixed" and any([i == 0 for i in [len(text) for text in corpus.get_texts()]]):
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Replace with any(not text for text in corpus.get_texts()) (more Pythonic). This looks unnecessarily complicated.

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4 participants