-
This is mostly annoyance. I think it would be logical if the lda_model would also store the resulting doc_topic_distr as part of the public fields.
`doc_topic_distr =
lda_model$fit_transform(…
-
Hey, thanks for the great work -- do you plan to release your trained LDA model for the analysis in sec 4.2? Thanks!
-
model_results = run_cgs_models_mallet(
cistopic_obj=cistopic_obj,
n_topics=n_topics,
n_cpu=n_cpu,
n_iter=n_iter,
random_state=random_state,
alpha…
-
SignUp: https://forms.gle/aeiZ9G13NoW2x3tH7
To join Slack: https://join.slack.com/t/goupaz/shared_invite/zt-oe4q61w4-qR8JTxAsWYUk4H2fq8G5pA
Twitter thread: https://twitter.com/sakows/status/1401…
-
Absolute necessity before any CRAN release.
Show some basic analyses:
1. Vanilla LDA analysis + prediction
2. Skipgram embeddings + ML analyses
classification
summarization
embedding out…
-
# Visualize
import pyLDAvis.gensim
lda_display = pyLDAvis.gensim.prepare(lda_model, bow_corpus,dictionary, sort_topics=True)
pyLDAvis.display(lda_display)
This is does not work anymore as the…
-
In order to compute the full likelihood, we need a TS model plus the data and LDA that went into it. The way drake is set up right now, I've been reconstructing these relationships by parsing the name…
-
Saving the model as:
```
val lda = LocalOnlineLda(
OnlineLdaParams(
vocabulary = lines(vocabFile).toIndexedSeq,
alpha = 1.0/numTopics,
eta = 1.0/numTopics,
decay =…
-
How can I handle this essue.
File "/data/ss/MAST/MAST/models/loss_ops.py", line 270, in geodesic_dists
internal = 0.5 * (torch.diagonal(torch.matmul(R_bin_ctrs, torch.transpose(R,-1, -2)), dim…
-
```
Generating with V2.0
A: torch.Size([7175, 3200]), B: torch.Size([9600, 3200]), C: (7175, 9600); (lda, ldb, ldc): (c_int(229600), c_int(307200), c_int(229600)); (m, n, k): (c_int(7175), c_int(960…