?imanim??uka??tomoonihsin??i&adnesamustas?k&azarukam?oih??m&ama?uzi??usuy??nesi?o&knik?os?tomustam??uzimurat???rih!.&a&ka&n?s??m&ayukuf?i&hsorihihsagih?j&ate?imakikaso????r&a&bohs?h&ekat?im???es??tiak?wiad??e&kato?ruk??i&h&ci&akustah?mono?nihs??s&inares?oyim???manimasa?uk??negokikesnij?o&gnoh?namuk??uhcuf????uk&ot!.&a&bihci?mi&hsu&kot?stamok??m??wagakan??egihsustam?i&gum?h&coganas?soyim??kijaw?m&anim?uzia??ukihsihs??nan&a?iak??o&nati?turan????uf!.&a&batuf?m&a&to?y&enak?irok???ihs&im?ukuf??os?uko...

    prediction-flavored outputs, in addition to the classification-flavored one.
    Building signatures from these allows TF Serving to honor requests using the
    different APIs (Classify, Regress, and Predict). Furthermore,
    `serving_input_receiver_fn()` may now specify alternative subsets of nodes
    that may act as inputs. This allows, for instance, producing a prediction

eg
com.eg
edu.eg
eun.eg
gov.eg
mil.eg
name.eg
net.eg
org.eg
sci.eg

// er : https://en.wikipedia.org/wiki/.er
*.er

// es : https://www.nic.es/site_ingles/ingles/dominios/index.html
es
com.es
nom.es
org.es
gob.es
edu.es

// et : https://en.wikipedia.org/wiki/.et
et
com.et
gov.et
org.et
edu.et
biz.et
name.et