Arkadiusz Kondas 3ba35918a3 Implement VarianceThreshold - simple baseline approach to feature selection. (#228) ... * Add sum of squares deviations * Calculate population variance * Add VarianceThreshold - feature selection transformer * Add docs about VarianceThreshold * Add missing code for pipeline usage		2018-02-10 18:07:09 +01:00
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association	Fix documentation of apriori (#221)	2018-02-05 18:50:45 +01:00
classification	Support probability estimation in SVC (#218)	2018-02-06 20:39:25 +01:00
clustering	Fix documentation links	2017-01-05 20:37:48 +00:00
cross-validation	create docs for StratifiedRandomSplit	2016-07-11 00:07:07 +02:00
datasets	Fix wrong docs references (#79)	2017-04-13 21:34:55 +02:00
feature-extraction	documentation add tokenizer->fit required to build the dictionary (#155)	2017-11-16 21:40:11 +01:00
feature-selection	Implement VarianceThreshold - simple baseline approach to feature selection. (#228)	2018-02-10 18:07:09 +01:00
metric	Fix documentation of ClassificationReport (#209)	2018-01-31 19:20:50 +01:00
model-manager	Persistence class to save and restore models (#37)	2017-02-02 09:03:09 +01:00
neural-network	Configure an Activation Function per hidden layer (#208)	2018-02-01 23:15:36 +01:00
preprocessing	Update imputation example to use transform method (#57)	2017-03-09 20:41:15 +01:00
regression	Support for multiple training datasets (#38)	2017-02-01 19:06:38 +01:00
workflow	add docs for Pipeline	2016-07-12 00:00:17 +02:00