ThreadEmbedder¶
-
class
convokit.hyperconvo.threadEmbedder.ThreadEmbedder(n_components: int = 7, method: str = 'svd', norm_method: str = 'standard', return_components: bool = False)¶ Transformer for embedding the thread statistics of a corpus in a low-dimensional space for visualization or other such purposes.
HyperConvo.fit_transform() must be run on the Corpus first
- Parameters
n_components – Number of dimensions to embed threads into
method – Embedding method; “svd”, “tsne” or “none”
norm_method – Normalization method; “standard” or “none”
return_components – if True, returns the components from embedding
-
fit_transform(corpus: convokit.model.corpus.Corpus) → convokit.model.corpus.Corpus¶ - Parameters
corpus – the Corpus to use
- Returns
Modifies and returns corpus with new meta key: “threadEmbedder”, value: Dict, containing “X”: an array with rows corresponding to embedded threads, “roots”: an array whose ith entry is the thread root id of the ith row of X. If return_components is True, then the Dict contains a third key “components”: the SVD components array
-
transform(corpus: convokit.model.corpus.Corpus) → convokit.model.corpus.Corpus¶ Same as fit_transform()