tff.simulation.datasets.stackoverflow.load_word_counts
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Loads the word counts for the Stack Overflow dataset.
tff.simulation.datasets.stackoverflow.load_word_counts(
cache_dir=None, vocab_size: Optional[int] = None
)
Args |
cache_dir
|
(Optional) directory to cache the downloaded file. If None ,
caches in Keras' default cache directory.
|
vocab_size
|
(Optional) when specified, only load the first vocab_size
unique words in the vocab file (i.e. the most frequent vocab_size
words).
|
Returns |
A collections.OrderedDict where the keys are string tokens, and the values
are the counts of unique users who have at least one example in the training
set containing that token in the body text.
|
Raises |
TypeError if vocab_size is not None or int.
ValueError if vocab_size is not None but <= 0.
|
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Last updated 2024-08-23 UTC.
[{
"type": "thumb-down",
"id": "missingTheInformationINeed",
"label":"Missing the information I need"
},{
"type": "thumb-down",
"id": "tooComplicatedTooManySteps",
"label":"Too complicated / too many steps"
},{
"type": "thumb-down",
"id": "outOfDate",
"label":"Out of date"
},{
"type": "thumb-down",
"id": "samplesCodeIssue",
"label":"Samples / code issue"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Other"
}]
[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Easy to understand"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Solved my problem"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Other"
}]
{
"lastModified": "Last updated 2024-08-23 UTC.",
"confidential": False
}