Comments (8)
My bad, I did not understood.
Link to example should have priority.
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see 090f27f
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First version of this page is really nice, congrats!
For the Preprocessing section, we should have an example (through a link to a tutorial for example). Here, it says that sometimes we need to do things differently than sklearn, and that Preprocessing does the heavy lifting for the user, but this remains too abstract.
Ideally, the reader should get some basic idea on the cases where it will require to use the Preprocessing elements of sk-mine.
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@alexandre-termier agreed
Should we include a link to an example and in-line a self-explanatory example ?
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If this is possible, this would be perfect!
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@alexandre-termier sorry I'll rephrase
Should we include a link to an example OR in-line a self-explanatory example ?
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@alexandre-termier updated
https://scikit-mine.github.io/scikit-mine/sklearn_compat.html
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Related Issues (20)
- avoid data copies in PeriodicCycleMiner
- SLIM for high dimensional data HOT 1
- Make scikit-mine profile friendly HOT 2
- KRIMP Imputation
- MDLP Discretizer v2 HOT 1
- notebook for PeriodicCycleMiner
- fetch_instancart is broken HOT 1
- [perf] skmine.periodic.cycles.extract_triples is really slow for n_points > 200
- Question about parameter k of SLIM HOT 2
- Return type of SLIM HOT 4
- Don't understand return values of decision_function of SLIM HOT 3
- apriori and CBA HOT 1
- MDLPDiscretizer: cut_points_ is not sorted HOT 2
- inherit sklearn BaseEstimator HOT 2
- MDLPDiscretizer: cut_points_ sometimes contains ambiguous values HOT 1
- max_time follows an anti-pattern in SLIM HOT 1
- preprocessing of transactionnal database affect code length HOT 2
- OneVsOneClassifier for SLIM doesnt't work
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