Yuji Uchiyama 554c86af68 Choose averaging method in classification report (#205) ... * Fix testcases of ClassificationReport * Fix averaging method in ClassificationReport * Fix divided by zero if labels are empty * Fix calculation of f1score * Add averaging methods (not completed) * Implement weighted average method * Extract counts to properties * Fix default to macro average * Implement micro average method * Fix style * Update docs * Fix styles		2018-01-29 18:06:21 +01:00
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association	Support for multiple training datasets (#38)	2017-02-01 19:06:38 +01:00
classification	Support for multiple training datasets (#38)	2017-02-01 19:06:38 +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
metric	Choose averaging method in classification report (#205)	2018-01-29 18:06:21 +01:00
model-manager	Persistence class to save and restore models (#37)	2017-02-02 09:03:09 +01:00
neural-network	Fix activation functions support (#163)	2018-01-09 11:09:59 +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