Broken examples

[matthaeusheer]

Hey

I just started using skills-ml and going through the examples. Some of them seem to be broken.

Example: Creating Corpus and Sampled Corpus

In section Creating Corpus with Criteria

---

KeyError Traceback (most recent call last)
in
----> 1 major_group = list(map(lambda c: c['onet_soc_code'][:2], corpus))

in (c)
----> 1 major_group = list(map(lambda c: c['onet_soc_code'][:2], corpus))

KeyError: 'onet_soc_code'

Filtered by Full O*NET SOC Code

Same as above.

In section Sampling from Corpus

---

TypeError Traceback (most recent call last)
in
1 from skills_ml.job_postings.sample import JobSampler
----> 2 job_sampler = JobSampler(corpus, random_state=42)
3 corpus = job_sampler.sample(10)

TypeError: init() missing 1 required positional argument: 'k'

In Reservoir Sampling

---

TypeError Traceback (most recent call last)
in
1 job_postings_generator = JobPostingCollectionSample()
----> 2 corpus = CorpusCreator(job_postings_generator, filter_func=major_group_filter_func)

TypeError: init() got an unexpected keyword argument 'filter_func'

If you are interested I might update this list. I am very interested in using skills-ml and familiarize myself with the functionalities.

Best,
Matthäus