{"id":37985,"date":"2022-07-28T21:19:17","date_gmt":"2022-07-28T19:19:17","guid":{"rendered":"http:\/\/54.194.80.134.nip.io\/integracija-machine-learning-pipelines-a-u-sap-sistemski-pejzaz\/"},"modified":"2022-07-28T21:19:25","modified_gmt":"2022-07-28T19:19:25","slug":"integracija-machine-learning-pipelines-a-u-sap-sistemski-pejzaz","status":"publish","type":"post","link":"https:\/\/www.cubeserv.com\/hr\/integracija-machine-learning-pipelines-a-u-sap-sistemski-pejzaz\/","title":{"rendered":"Integracija Machine Learning Pipelines-a u SAP sistemski pejza\u017e"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"37985\" class=\"elementor elementor-37985 elementor-15927\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-540cf95 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"540cf95\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d56eb7a\" data-id=\"d56eb7a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-63f41dc elementor-widget elementor-widget-text-editor\" data-id=\"63f41dc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tKako mo\u017ee Machine Learning Pipeline sa grafi\u010dkim korisni\u010dkim interfejsom u Va\u0161em SAP sistemskom pejza\u017eu biti kreiran i kori\u0161ten potpuno integriran? U ovom blog postu pokaza\u0107u Vam kako da to uradite. Snimci ekrana su napravljeni tokom radionice na Swiss Data Science Conference 2020 sa SAP Data Intelligence verzijom 3.0.\r\n<p class=\"tw-data-text tw-text-large tw-ta\" dir=\"ltr\" data-placeholder=\"Translation\"><span class=\"Y2IQFc\" lang=\"bs\">Predvi\u0111anje cijene automobila odabrano je kao prvi Use Case. Odgovaraju\u0107i skup podataka mo\u017ee se na\u0107i na Kaggleu, pod:\u00a0<a href=\"https:\/\/www.kaggle.com\/code\/bozungu\/ebay-used-car-sales-data\/notebook\">https:\/\/www.kaggle.com\/code\/bozungu\/ebay-used-car-sales-data\/notebook<\/a>.<\/span><\/p>\r\n<p id=\"tw-target-text\" class=\"tw-data-text tw-text-large tw-ta\" dir=\"ltr\" data-placeholder=\"Translation\"><span class=\"Y2IQFc\" lang=\"bs\">Vrijednost koju treba predvidjeti (output variable) je cijena u eurima za koju je ponu\u0111en polovni automobil 2016. godine. Podaci se pohranjuju u SAP HANA bazu podataka, \u0161to osigurava pristup u memoriji i time visoke performanse. Kori\u0161teni model procesa je baziran na me\u0111unarodnom standardnom procesu za rudarenje podataka (CRISP-DM) okviru. Prve \u010detiri faze (razumijevanje poslovanja, razumijevanje podataka, modeliranje i evaluacija) su inicijalno implementirane pomo\u0107u Pythona uz podr\u0161ku Jupyter Notebook-a. Zatim je konfiguracija parametara algoritma regresije za pove\u0107anje gradijenta s najmanjom srednjom kvadratnom gre\u0161kom (RMSE) kori\u0161tena za modeliranje cjevovoda strojnog u\u010denja u grafi\u010dkom korisni\u010dkom su\u010delju SAP Data Intelligence i u posljednjem koraku za njegovu implementaciju kao RESTful API.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ddc05b4 elementor-widget elementor-widget-heading\" data-id=\"ddc05b4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Data understanding u Python-u sa Jupyter Notebook-om<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d0e1ccd elementor-widget elementor-widget-text-editor\" data-id=\"d0e1ccd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p id=\"tw-target-text\" class=\"tw-data-text tw-text-large tw-ta\" dir=\"ltr\" data-placeholder=\"Translation\"><span class=\"Y2IQFc\" lang=\"bs\">U fazi &#8220;razumijevanja podataka&#8221;, upotreba Jupyter Notebook-a u programskom jeziku Python nudi niz funkcionalnosti za analizu i odgovaraju\u0107u obradu rezultata. Na slici ispod mo\u017eete prona\u0107i razli\u010dite vrijednosti za stupce u kori\u0161tenom skupu podataka, npr. jedinstvenost vrijednosti, nulte vrijednosti kao i prosje\u010dne i srednje vrijednosti. Ovo omogu\u0107ava, na primjer, da se sazna da li je neophodan tretman vanrednog stanja i kako se skup podataka mo\u017ee podijeliti na skupove podataka za obuku i validaciju.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3a04b3b elementor-widget elementor-widget-image\" data-id=\"3a04b3b\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"457\" src=\"https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/08\/JupyterNotebook_Python_DataUnderstandingTooltips-1024x457.png\" class=\"attachment-large size-large wp-image-17705\" alt=\"JupyterNotebook_Python_DataUnderstandingTooltips\" srcset=\"https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/08\/JupyterNotebook_Python_DataUnderstandingTooltips-1024x457.png 1024w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/08\/JupyterNotebook_Python_DataUnderstandingTooltips-300x134.png 300w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/08\/JupyterNotebook_Python_DataUnderstandingTooltips-768x342.png 768w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/08\/JupyterNotebook_Python_DataUnderstandingTooltips-1536x685.png 1536w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/08\/JupyterNotebook_Python_DataUnderstandingTooltips.png 1911w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-89a2c0e elementor-widget elementor-widget-heading\" data-id=\"89a2c0e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Model training and evaluation sa Hybrid Gradient Boosting Regression<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1657fd3 elementor-widget elementor-widget-text-editor\" data-id=\"1657fd3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p id=\"tw-target-text\" class=\"tw-data-text tw-text-large tw-ta\" dir=\"ltr\" data-placeholder=\"Translation\"><span class=\"Y2IQFc\" lang=\"bs\">Nakon upoznavanja podataka, izbor algoritma koji \u0107e se koristiti pao je na Hybrid Gradient Boosting Regression iz SAP Predictive Analytics Library (SAP PAL). Uneseni parametri su odabrani kao po\u010detna konfiguracija, zatim su specificirani stupci ili karakteristike koje \u0107e se koristiti kako bi se kreirao veliki broj modela obuke u posljednjem koraku. Za detaljne tehni\u010dke i matemati\u010dke informacije o podizanju gradijenta u Pythonu, mogu preporu\u010diti sljede\u0107u web stranicu:\u00a0<\/span><\/p>\r\n<p class=\"tw-data-text tw-text-large tw-ta\" dir=\"ltr\" data-placeholder=\"Translation\"><a href=\"https:\/\/towardsdatascience.com\/gradient-boosting-in-python-from-scratch-4a3d9077367\">Gradient Boosting in Python from Scratch<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3443f95 elementor-widget elementor-widget-image\" data-id=\"3443f95\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1024\" height=\"455\" src=\"https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/JupyterNotebook_Python_ModelTraining-1024x455.png\" class=\"attachment-large size-large wp-image-15973\" alt=\"JupyterNotebook_Python_ModelTraining\" srcset=\"https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/JupyterNotebook_Python_ModelTraining-1024x455.png 1024w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/JupyterNotebook_Python_ModelTraining-300x133.png 300w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/JupyterNotebook_Python_ModelTraining-768x341.png 768w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/JupyterNotebook_Python_ModelTraining-1536x683.png 1536w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/JupyterNotebook_Python_ModelTraining.png 1914w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d32ae29 elementor-widget elementor-widget-text-editor\" data-id=\"d32ae29\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p id=\"tw-target-text\" class=\"tw-data-text tw-text-large tw-ta\" dir=\"ltr\" data-placeholder=\"Translation\"><span class=\"Y2IQFc\" lang=\"bs\">Zatim postoji mogu\u0107nost evaluacije kvaliteta modela prema razli\u010ditim statisti\u010dkim pokazateljima. Na snimku ekrana ispod, kao metrika je odabrana srednja kvadratna gre\u0161ka (RMSE). Parametri (N_ESTIMATORS i MAX_DEPTH) koji su doveli do najmanjeg RSME odabrani su za obuku modela koji \u0107e se koristiti.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7f72d09 elementor-widget elementor-widget-image\" data-id=\"7f72d09\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/JupyterNotebook_Python_ModelTraining2-1024x576.png\" class=\"attachment-large size-large wp-image-15976\" alt=\"\" srcset=\"https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/JupyterNotebook_Python_ModelTraining2-1024x576.png 1024w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/JupyterNotebook_Python_ModelTraining2-300x169.png 300w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/JupyterNotebook_Python_ModelTraining2-768x432.png 768w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/JupyterNotebook_Python_ModelTraining2-1536x864.png 1536w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/JupyterNotebook_Python_ModelTraining2.png 1920w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-794aace elementor-widget elementor-widget-heading\" data-id=\"794aace\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><h2>Kori\u0161tenje parametara konfiguracije u SAP Machine Learning Operator-u za In-Memory izvedbu<\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7a3243a elementor-widget elementor-widget-text-editor\" data-id=\"7a3243a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p id=\"tw-target-text\" class=\"tw-data-text tw-text-large tw-ta\" dir=\"ltr\" data-placeholder=\"Translation\"><span class=\"Y2IQFc\" lang=\"hr\">Nakon modeliranja i evaluacije, \u010desto sam u pro\u0161losti vidio da je veliki izazov za tvrtke implementirati razvijene i evaluirane modele u proizvodnju. Integracija u postoje\u0107e poslovne procese i cjevovod strojnog u\u010denja putem razli\u010ditih IT sustava (s razli\u010ditim programskim jezicima) tako\u0111er su me\u0111u podcijenjenim aktivnostima. Data Intelligence Modeler omogu\u0107uje ovu integraciju IT sustava i programskih jezika u grafi\u010dko korisni\u010dko su\u010delje. Snimka zaslona u nastavku prikazuje podatkovni cjevovod koji se koristi za treniranje najja\u010deg modela. <\/span><\/p>\r\n<p class=\"tw-data-text tw-text-large tw-ta\" dir=\"ltr\" data-placeholder=\"Translation\"><span class=\"Y2IQFc\" lang=\"hr\">Budu\u0107i da se modeliranje i evaluacija u CRSIP-DM \u010desto provode u nekoliko iteracija, ima smisla i korisno je to u\u010diniti u Jupyter Notebook-u. Parametri koji su doveli do najja\u010deg modela mogu se zatim prenijeti u standardnu \u200b\u200bkomponentu &#8220;HANA ML Training&#8221;.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e7a7662 elementor-widget elementor-widget-image\" data-id=\"e7a7662\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/cdn.cubeserv.com\/wp-content\/uploads\/2020\/07\/SAP-Machine-Learning-Operator.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-title=\"SAP HANA Machine Learning Operator\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6MTU5MzUsInVybCI6Imh0dHBzOlwvXC93d3cuY3ViZXNlcnYuY29tXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDIwXC8wN1wvU0FQLU1hY2hpbmUtTGVhcm5pbmctT3BlcmF0b3IucG5nIn0%3D\">\n\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/SAP-Machine-Learning-Operator-1024x576.png\" class=\"attachment-large size-large wp-image-15935\" alt=\"SAP HANA Machine Learning Operator\" srcset=\"https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/SAP-Machine-Learning-Operator-1024x576.png 1024w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/SAP-Machine-Learning-Operator-300x169.png 300w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/SAP-Machine-Learning-Operator-768x432.png 768w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/SAP-Machine-Learning-Operator-1536x864.png 1536w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/SAP-Machine-Learning-Operator.png 1920w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ad10575 elementor-widget elementor-widget-text-editor\" data-id=\"ad10575\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p id=\"tw-target-text\" class=\"tw-data-text tw-text-large tw-ta\" dir=\"ltr\" data-placeholder=\"Translation\"><span class=\"Y2IQFc\" lang=\"hr\">U svakom cjevovodu u Data Intelligence Modeller-u mogu se koristiti razli\u010diti operatori. Primjer je &#8220;HANA ML Training&#8221;. Me\u0111utim, Python operator tako\u0111er se mo\u017ee koristiti, na primjer, za integraciju pojedina\u010dnog Python koda ili R koda (npr. ako se ne koristi algoritam iz SAP PAL-a, kao u ovom primjeru). <\/span><\/p>\r\n<p class=\"tw-data-text tw-text-large tw-ta\" dir=\"ltr\" data-placeholder=\"Translation\"><span class=\"Y2IQFc\" lang=\"hr\">Pristup velikom broju baza podataka, cloud providera i drugih SAP proizvoda kao \u0161to je S\/4HANA jednako je mogu\u0107 kao i kontrola SAP BW procesnih lanaca.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bdda1d3 elementor-widget elementor-widget-heading\" data-id=\"bdda1d3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Deployment Machine Learning Model-a preko RESTful API<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e23ad94 elementor-widget elementor-widget-text-editor\" data-id=\"e23ad94\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p id=\"tw-target-text\" class=\"tw-data-text tw-text-large tw-ta\" dir=\"ltr\" data-placeholder=\"Translation\"><span class=\"Y2IQFc\" lang=\"hr\">Uz kreirani najja\u010di model, on sada mo\u017ee biti dostupan u potro\u0161a\u010dkom kanalu putem RESTful API-ja, kao \u0161to je prikazano na snimci zaslona u nastavku.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ea26c36 elementor-widget elementor-widget-image\" data-id=\"ea26c36\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"348\" src=\"https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/SAP-Data-Intelligence-Deployment-Machine-Learning-Model-1024x348.png\" class=\"attachment-large size-large wp-image-15979\" alt=\"\" srcset=\"https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/SAP-Data-Intelligence-Deployment-Machine-Learning-Model-1024x348.png 1024w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/SAP-Data-Intelligence-Deployment-Machine-Learning-Model-300x102.png 300w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/SAP-Data-Intelligence-Deployment-Machine-Learning-Model-768x261.png 768w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/SAP-Data-Intelligence-Deployment-Machine-Learning-Model-1536x522.png 1536w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/SAP-Data-Intelligence-Deployment-Machine-Learning-Model.png 1870w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a3c85f9 elementor-widget elementor-widget-heading\" data-id=\"a3c85f9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Poziv RESTful API-ja za predvi\u0111anje cijena na bazi Machine Learning Model-a<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-16d9165 elementor-widget elementor-widget-text-editor\" data-id=\"16d9165\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tNakon uspje\u0161ne implementacije, mogu\u0107e je koristiti su\u010delje s POST zahtjevom za predvi\u0111anje cijene za automobil. Svojstva su dana u JSON formatu u tijelu POST zahtjeva (kao \u0161to je prikazano na slici ispod).\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9b28b65 elementor-widget elementor-widget-image\" data-id=\"9b28b65\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"513\" src=\"https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/SAP-Data-Intelligence-Using-REST-API-for-Prediction-1024x513.png\" class=\"attachment-large size-large wp-image-15988\" alt=\"\" srcset=\"https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/SAP-Data-Intelligence-Using-REST-API-for-Prediction-1024x513.png 1024w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/SAP-Data-Intelligence-Using-REST-API-for-Prediction-300x150.png 300w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/SAP-Data-Intelligence-Using-REST-API-for-Prediction-768x385.png 768w, https:\/\/www.cubeserv.com\/wp-content\/uploads\/2020\/07\/SAP-Data-Intelligence-Using-REST-API-for-Prediction.png 1196w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5222a1a elementor-widget elementor-widget-heading\" data-id=\"5222a1a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Integracija Machine Learning Pipelines-a u Va\u0161 IT sistemski pejza\u017e<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2435822 elementor-widget elementor-widget-text-editor\" data-id=\"2435822\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p id=\"tw-target-text\" class=\"tw-data-text tw-text-large tw-ta\" dir=\"ltr\" data-placeholder=\"Translation\"><span class=\"Y2IQFc\" lang=\"hr\">Kako se Machine Learnig Pipeline s grafi\u010dkim korisni\u010dkim su\u010deljem mo\u017ee stvoriti i potpuno integrirati u krajolik Va\u0161eg SAP sustava? U ovom postu na blogu pokazao sam vam kako je to mogu\u0107e uz SAP Data Intelligence.<\/span><\/p>\r\n<p id=\"tw-target-text\" class=\"tw-data-text tw-text-large tw-ta\" dir=\"ltr\" data-placeholder=\"Translation\"><span class=\"Y2IQFc\" lang=\"hr\">Nadalje, kori\u0161tenjem Jupyter Notebook-ova s Pythonom, vrlo je jednostavno iterativni pristup kod Data Mining ili Data Science implementirati na integrirani na\u010din i jednostavno ih integrirati u postoje\u0107e poslovne procese i IT procese, \u010dime se nudi dodana vrijednost.<\/span><\/p>\r\n<p id=\"tw-target-text\" class=\"tw-data-text tw-text-large tw-ta\" dir=\"ltr\" data-placeholder=\"Translation\"><span class=\"Y2IQFc\" lang=\"hr\">Moje kolege i ja rado \u0107emo s Vama razmijeniti ideje o Va\u0161im Data Science projektima i provjerit \u0107emo u kojoj Vam mjeri mo\u017eemo pru\u017eiti podr\u0161ku u budu\u0107nosti.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-48d312b elementor-section-height-min-height elementor-section-content-top elementor-section-boxed elementor-section-height-default elementor-section-items-middle\" data-id=\"48d312b\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-bc0bf31\" data-id=\"bc0bf31\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-3a160b9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3a160b9\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-ae4c325\" data-id=\"ae4c325\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-f4abdec elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f4abdec\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-c27b293\" data-id=\"c27b293\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-05fae66 elementor-headline--style-highlight elementor-widget elementor-widget-animated-headline\" data-id=\"05fae66\" data-element_type=\"widget\" data-settings=\"{&quot;marker&quot;:&quot;underline&quot;,&quot;highlighted_text&quot;:&quot;Expert Call.&quot;,&quot;headline_style&quot;:&quot;highlight&quot;,&quot;loop&quot;:&quot;yes&quot;,&quot;highlight_animation_duration&quot;:1200,&quot;highlight_iteration_delay&quot;:8000}\" data-widget_type=\"animated-headline.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h3 class=\"elementor-headline\">\n\t\t\t\t\t<span class=\"elementor-headline-plain-text elementor-headline-text-wrapper\">Dogovorite sada svoj<\/span>\n\t\t\t\t<span class=\"elementor-headline-dynamic-wrapper elementor-headline-text-wrapper\">\n\t\t\t\t\t<span class=\"elementor-headline-dynamic-text elementor-headline-text-active\">Expert Call.<\/span>\n\t\t\t\t<\/span>\n\t\t\t\t\t<span class=\"elementor-headline-plain-text elementor-headline-text-wrapper\">Drago nam je zbog Va\u0161e poruke.<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-224a77c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"224a77c\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-0e1b825\" data-id=\"0e1b825\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1fe4646 elementor-author-box--image-valign-middle elementor-author-box--avatar-yes elementor-author-box--link-no elementor-widget elementor-widget-author-box\" data-id=\"1fe4646\" data-element_type=\"widget\" data-widget_type=\"author-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-author-box\">\n\t\t\t\t\t\t\t<div  class=\"elementor-author-box__avatar\">\n\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/www.cubeserv.com\/wp-content\/uploads\/2021\/05\/Benedikt_Bleyer.png\" alt=\"Picture of Benedikt Bleyer\" loading=\"lazy\">\n\t\t\t\t<\/div>\n\t\t\t\n\t\t\t<div class=\"elementor-author-box__text\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-4ab316b\" data-id=\"4ab316b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c33d9f2 elementor-widget elementor-widget-spacer\" data-id=\"c33d9f2\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ee421ac elementor-widget elementor-widget-heading\" data-id=\"ee421ac\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Benedikt Bleyer<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a383d91 elementor-widget elementor-widget-heading\" data-id=\"a383d91\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Design, Build and Run Your Business Analytics Platform. Professional experience in Advanced Analytics, Data Integration, Data Governance &amp; Enterprise Planning.<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-f307057 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f307057\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-df61b91\" data-id=\"df61b91\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e4c2a99 elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"e4c2a99\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"tel:+41552243000\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-phone-alt\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M497.39 361.8l-112-48a24 24 0 0 0-28 6.9l-49.6 60.6A370.66 370.66 0 0 1 130.6 204.11l60.6-49.6a23.94 23.94 0 0 0 6.9-28l-48-112A24.16 24.16 0 0 0 122.6.61l-104 24A24 24 0 0 0 0 48c0 256.5 207.9 464 464 464a24 24 0 0 0 23.4-18.6l24-104a24.29 24.29 0 0 0-14.01-27.6z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">+41 55 224 30 00<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"mailto:benedikt.bleyer@cubeserv.com\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-far-envelope\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M464 64H48C21.49 64 0 85.49 0 112v288c0 26.51 21.49 48 48 48h416c26.51 0 48-21.49 48-48V112c0-26.51-21.49-48-48-48zm0 48v40.805c-22.422 18.259-58.168 46.651-134.587 106.49-16.841 13.247-50.201 45.072-73.413 44.701-23.208.375-56.579-31.459-73.413-44.701C106.18 199.465 70.425 171.067 48 152.805V112h416zM48 400V214.398c22.914 18.251 55.409 43.862 104.938 82.646 21.857 17.205 60.134 55.186 103.062 54.955 42.717.231 80.509-37.199 103.053-54.947 49.528-38.783 82.032-64.401 104.947-82.653V400H48z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span 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class=\"elementor-icon-list-text\">benedikt-bleyer<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Kako mo\u017ee Machine Learning Pipeline sa grafi\u010dkim korisni\u010dkim interfejsom u Va\u0161em SAP sistemskom pejza\u017eu biti kreiran i kori\u0161ten potpuno integriran? U ovom blog postu pokaza\u0107u Vam kako da to uradite. Snimci ekrana su napravljeni tokom radionice na Swiss Data Science Conference 2020 sa SAP Data Intelligence verzijom 3.0. Predvi\u0111anje cijene automobila odabrano je kao prvi &#8230; <a title=\"Integracija Machine Learning Pipelines-a u SAP sistemski pejza\u017e\" class=\"read-more\" href=\"https:\/\/www.cubeserv.com\/hr\/integracija-machine-learning-pipelines-a-u-sap-sistemski-pejzaz\/\" aria-label=\"Read more about Integracija Machine Learning Pipelines-a u SAP sistemski pejza\u017e\">Pro\u010ditaj vi\u0161e<\/a><\/p>\n","protected":false},"author":14,"featured_media":5999,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[508,1,511],"tags":[515,518,525,512,513,514,516,407],"class_list":["post-37985","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-analytics","category-sap-data-hub","category-sap-data-intelligence","tag-boosting","tag-crisp-dm","tag-jupyter-notebook","tag-machine-learning","tag-python","tag-regression","tag-sap-data-intelligence","tag-sap-hana"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v23.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Integracija Machine Learning Pipelines-a u SAP sistemski pejza\u017e - CubeServ<\/title>\n<meta name=\"description\" content=\"Kako se Machine Learning Pipeline sa grafi\u010dkim korisni\u010dkim interfejsom mo\u017ee kreirati i potpuno integrisati u pejza\u017e Va\u0161eg SAP sistema? 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