I'm using latest pyod version on pypi. How to generate simulated data where x-axis is time? Thank you.

https://github.com/rasbt/mlxtend/blob/115278bac14d7fc278885c0722da03f1c3b91604/mlxtend/frequent_patterns/apriori.py#L224

Processing 24785850 combinations | Sampling itemset size 6
Traceback (most recent call last):
File "***.py", line 116, in
frequent_itemsets = apriori(df, min_support=0.8, use_colnames=True, verbose=1)

File "C:\ProgramData\Anaconda3\lib\site-

Run the code:

(use-modules
 (opencog)
 (opencog nlp)
 (opencog nlp relex2logic)
 (opencog ghost)
 (opencog ghost procedures)
 (opencog exec))

(define-public (where-somebody-work who-list)
 (display (string-append "argument: " (cog-name (car (cog-outgoing-set who-list))) "\n"))
 (Word "SomeCompany"))

;; Ghost Rules
(ghost-parse "
r: (where do _* work) '_0 work in ^where-

Python has a test package which can shadow the import of the test.py module, leading to an ImportError when importing NN or kNN.

https://docs.python.org/2.7/library/test.html?highlight=test#module-test
https://docs.python.org/3.5/library/test.html

I suggest to rename it to test_embedding.py or something like that.

Hello

I have 200k documents and I create 100 topics. I look at the terms and see that the topics are good.
But when I want to look at examples for each topic I do probs, _ = topic_model.transform(count_matrix, details=True). Then I create new column for each for example dataframe['topic=0']=pd.Series(probs[:, 0]). Then I sort dataframe by prob value decrease and I see that about 1/3 of the