{"id":478029,"date":"2023-08-09T09:26:05","date_gmt":"2023-08-09T09:26:05","guid":{"rendered":""},"modified":"2023-09-05T11:15:54","modified_gmt":"2023-09-05T11:15:54","slug":"mlflow","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/in\/wiki\/mlflow\/","title":{"rendered":"\u090f\u092e\u090f\u0932\u092a\u094d\u0930\u0935\u093e\u0939"},"content":{"rendered":"<p>MLflow \u0915\u0947 \u092c\u093e\u0930\u0947 \u092e\u0947\u0902 \u0938\u0902\u0915\u094d\u0937\u093f\u092a\u094d\u0924 \u091c\u093e\u0928\u0915\u093e\u0930\u0940<\/p>\n<p>MLflow \u090f\u0915 \u0913\u092a\u0928-\u0938\u094b\u0930\u094d\u0938 \u092a\u094d\u0932\u0947\u091f\u092b\u093c\u0949\u0930\u094d\u092e \u0939\u0948 \u091c\u093f\u0938\u0915\u093e \u0909\u0926\u094d\u0926\u0947\u0936\u094d\u092f \u0938\u0902\u092a\u0942\u0930\u094d\u0923 \u092e\u0936\u0940\u0928 \u0932\u0930\u094d\u0928\u093f\u0902\u0917 (ML) \u091c\u0940\u0935\u0928\u091a\u0915\u094d\u0930 \u0915\u093e \u092a\u094d\u0930\u092c\u0902\u0927\u0928 \u0915\u0930\u0928\u093e \u0939\u0948\u0964 \u0907\u0938\u092e\u0947\u0902 \u092a\u094d\u0930\u092f\u094b\u0917\u094b\u0902 \u0915\u094b \u091f\u094d\u0930\u0948\u0915 \u0915\u0930\u0928\u0947 \u0938\u0947 \u0932\u0947\u0915\u0930 \u0926\u0942\u0938\u0930\u094b\u0902 \u0915\u0947 \u0938\u093e\u0925 \u092a\u0942\u0930\u094d\u0935\u093e\u0928\u0941\u092e\u093e\u0928 \u0938\u093e\u091d\u093e \u0915\u0930\u0928\u0947 \u0924\u0915 \u0938\u092c \u0915\u0941\u091b \u0936\u093e\u092e\u093f\u0932 \u0939\u0948\u0964 MLflow \u0915\u093e \u092a\u094d\u0930\u093e\u0925\u092e\u093f\u0915 \u0932\u0915\u094d\u0937\u094d\u092f \u0935\u0948\u091c\u094d\u091e\u093e\u0928\u093f\u0915\u094b\u0902 \u0914\u0930 \u0907\u0902\u091c\u0940\u0928\u093f\u092f\u0930\u094b\u0902 \u0915\u0947 \u0932\u093f\u090f \u0905\u092a\u0928\u0947 \u0915\u093e\u092e \u0915\u094b \u0926\u094b\u0939\u0930\u093e\u0928\u093e, \u0939\u093f\u0924\u0927\u093e\u0930\u0915\u094b\u0902 \u0915\u0947 \u0938\u093e\u0925 \u0905\u092a\u0928\u0940 \u092a\u094d\u0930\u0917\u0924\u093f \u0938\u093e\u091d\u093e \u0915\u0930\u0928\u093e \u0914\u0930 \u0905\u092a\u0928\u0947 \u092e\u0949\u0921\u0932 \u0915\u094b \u0909\u0924\u094d\u092a\u093e\u0926\u0928 \u092e\u0947\u0902 \u0924\u0948\u0928\u093e\u0924 \u0915\u0930\u0928\u093e \u0906\u0938\u093e\u0928 \u092c\u0928\u093e\u0928\u093e \u0939\u0948\u0964<\/p>\n<h2>MLflow \u0915\u0940 \u0909\u0924\u094d\u092a\u0924\u094d\u0924\u093f \u0915\u093e \u0907\u0924\u093f\u0939\u093e\u0938 \u0914\u0930 \u0907\u0938\u0915\u093e \u092a\u0939\u0932\u093e \u0909\u0932\u094d\u0932\u0947\u0916<\/h2>\n<p>MLflow \u0915\u094b \u0921\u0947\u091f\u093e \u092a\u094d\u0930\u094b\u0938\u0947\u0938\u093f\u0902\u0917 \u0914\u0930 \u090f\u0928\u093e\u0932\u093f\u091f\u093f\u0915\u094d\u0938 \u0915\u0947 \u0915\u094d\u0937\u0947\u0924\u094d\u0930 \u092e\u0947\u0902 \u0905\u0917\u094d\u0930\u0923\u0940 \u0915\u0902\u092a\u0928\u0940 \u0921\u0947\u091f\u093e\u092c\u094d\u0930\u093f\u0915\u094d\u0938 \u0926\u094d\u0935\u093e\u0930\u093e \u0935\u093f\u0915\u0938\u093f\u0924 \u0914\u0930 \u092a\u0947\u0936 \u0915\u093f\u092f\u093e \u0917\u092f\u093e \u0925\u093e\u0964 \u091c\u0942\u0928 2018 \u092e\u0947\u0902 \u0938\u094d\u092a\u093e\u0930\u094d\u0915 + \u090f\u0906\u0908 \u0938\u092e\u093f\u091f \u092e\u0947\u0902 \u0907\u0938\u0915\u0940 \u0906\u0927\u093f\u0915\u093e\u0930\u093f\u0915 \u0918\u094b\u0937\u0923\u093e \u0915\u0940 \u0917\u0908 \u0925\u0940\u0964 \u0907\u0938\u0915\u0940 \u0936\u0941\u0930\u0941\u0906\u0924 \u0938\u0947 \u0939\u0940, \u092a\u094d\u0930\u093e\u0925\u092e\u093f\u0915 \u0927\u094d\u092f\u093e\u0928 \u092e\u0936\u0940\u0928 \u0932\u0930\u094d\u0928\u093f\u0902\u0917 \u092e\u0949\u0921\u0932 \u0915\u0947 \u0935\u093f\u0915\u093e\u0938, \u092a\u094d\u0930\u092c\u0902\u0927\u0928 \u0914\u0930 \u0924\u0948\u0928\u093e\u0924\u0940 \u0915\u0940 \u091c\u091f\u093f\u0932 \u092a\u094d\u0930\u0915\u094d\u0930\u093f\u092f\u093e \u0915\u094b \u0915\u093e\u0930\u0917\u0930 \u092c\u0928\u093e\u0928\u0947 \u092a\u0930 \u0925\u093e, \u0935\u093f\u0936\u0947\u0937 \u0930\u0942\u092a \u0938\u0947 \u0935\u093f\u0924\u0930\u093f\u0924 \u0935\u093e\u0924\u093e\u0935\u0930\u0923 \u092e\u0947\u0902\u0964<\/p>\n<h2>MLflow \u0915\u0947 \u092c\u093e\u0930\u0947 \u092e\u0947\u0902 \u0935\u093f\u0938\u094d\u0924\u0943\u0924 \u091c\u093e\u0928\u0915\u093e\u0930\u0940: \u0935\u093f\u0937\u092f \u0915\u093e \u0935\u093f\u0938\u094d\u0924\u093e\u0930 MLflow<\/h2>\n<p>MLflow \u0915\u094b \u091a\u093e\u0930 \u092e\u0941\u0916\u094d\u092f \u0918\u091f\u0915\u094b\u0902 \u092e\u0947\u0902 \u0935\u093f\u092d\u093e\u091c\u093f\u0924 \u0915\u093f\u092f\u093e \u0917\u092f\u093e \u0939\u0948:<\/p>\n<ol>\n<li><strong>\u090f\u092e\u090f\u0932\u092b\u094d\u0932\u094b \u091f\u094d\u0930\u0948\u0915\u093f\u0902\u0917<\/strong>: \u092f\u0939 \u0918\u091f\u0915 \u092a\u094d\u0930\u092f\u094b\u0917\u094b\u0902 \u0914\u0930 \u092e\u0947\u091f\u094d\u0930\u093f\u0915\u094d\u0938 \u0915\u094b \u0932\u0949\u0917 \u0915\u0930\u0924\u093e \u0939\u0948 \u0914\u0930 \u0915\u094d\u0935\u0947\u0930\u0940 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/li>\n<li><strong>\u090f\u092e\u090f\u0932\u092b\u094d\u0932\u094b \u092a\u094d\u0930\u094b\u091c\u0947\u0915\u094d\u091f\u094d\u0938<\/strong>: \u092f\u0939 \u0915\u094b\u0921 \u0915\u094b \u092a\u0941\u0928\u0903 \u092a\u094d\u0930\u092f\u094b\u091c\u094d\u092f, \u092a\u0941\u0928\u0930\u0941\u0924\u094d\u092a\u093e\u0926\u0928\u0940\u092f \u0918\u091f\u0915\u094b\u0902 \u092e\u0947\u0902 \u092a\u0948\u0915\u0947\u091c \u0915\u0930\u0928\u0947 \u092e\u0947\u0902 \u092e\u0926\u0926 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/li>\n<li><strong>\u090f\u092e\u090f\u0932\u092b\u094d\u0932\u094b \u092e\u0949\u0921\u0932<\/strong>\u092f\u0939 \u0916\u0902\u0921 \u092e\u0949\u0921\u0932\u094b\u0902 \u0915\u094b \u0909\u0924\u094d\u092a\u093e\u0926\u0928 \u092e\u0947\u0902 \u0932\u0947 \u091c\u093e\u0928\u0947 \u0915\u0940 \u092a\u094d\u0930\u0915\u094d\u0930\u093f\u092f\u093e \u0915\u094b \u092e\u093e\u0928\u0915\u0940\u0915\u0943\u0924 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/li>\n<li><strong>\u090f\u092e\u090f\u0932\u092b\u094d\u0932\u094b \u0930\u091c\u093f\u0938\u094d\u091f\u094d\u0930\u0940<\/strong>\u092f\u0939 \u0938\u0939\u092f\u094b\u0917 \u0915\u0947 \u0932\u093f\u090f \u090f\u0915 \u0915\u0947\u0902\u0926\u094d\u0930\u0940\u0915\u0943\u0924 \u0915\u0947\u0902\u0926\u094d\u0930 \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/li>\n<\/ol>\n<p>MLflow \u0915\u0908 \u092a\u094d\u0930\u094b\u0917\u094d\u0930\u093e\u092e\u093f\u0902\u0917 \u092d\u093e\u0937\u093e\u0913\u0902 \u0915\u093e \u0938\u092e\u0930\u094d\u0925\u0928 \u0915\u0930\u0924\u093e \u0939\u0948, \u091c\u093f\u0938\u092e\u0947\u0902 Python, R, Java \u0914\u0930 \u092c\u0939\u0941\u0924 \u0915\u0941\u091b \u0936\u093e\u092e\u093f\u0932 \u0939\u0948\u0964 \u0907\u0938\u0947 \u092e\u093e\u0928\u0915 \u092a\u0948\u0915\u0947\u091c \u092e\u0948\u0928\u0947\u091c\u0930 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 \u0907\u0902\u0938\u094d\u091f\u0949\u0932 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948 \u0914\u0930 \u092f\u0939 \u0932\u094b\u0915\u092a\u094d\u0930\u093f\u092f \u092e\u0936\u0940\u0928 \u0932\u0930\u094d\u0928\u093f\u0902\u0917 \u0932\u093e\u0907\u092c\u094d\u0930\u0947\u0930\u0940 \u0915\u0947 \u0938\u093e\u0925 \u090f\u0915\u0940\u0915\u0943\u0924 \u0939\u094b\u0924\u093e \u0939\u0948\u0964<\/p>\n<h2>MLflow \u0915\u0940 \u0906\u0902\u0924\u0930\u093f\u0915 \u0938\u0902\u0930\u091a\u0928\u093e: MLflow \u0915\u0948\u0938\u0947 \u0915\u093e\u092e \u0915\u0930\u0924\u093e \u0939\u0948<\/h2>\n<p>MLflow \u090f\u0915 \u0915\u0947\u0902\u0926\u094d\u0930\u0940\u0915\u0943\u0924 \u0938\u0930\u094d\u0935\u0930 \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0915\u0947 \u0915\u093e\u092e \u0915\u0930\u0924\u093e \u0939\u0948 \u091c\u093f\u0938\u0947 REST APIs, CLIs \u0914\u0930 \u092e\u0942\u0932 \u0915\u094d\u0932\u093e\u0907\u0902\u091f \u0932\u093e\u0907\u092c\u094d\u0930\u0947\u0930\u0940\u091c\u093c \u0915\u0947 \u092e\u093e\u0927\u094d\u092f\u092e \u0938\u0947 \u090f\u0915\u094d\u0938\u0947\u0938 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948\u0964<\/p>\n<ul>\n<li><strong>\u091f\u094d\u0930\u0948\u0915\u093f\u0902\u0917 \u0938\u0930\u094d\u0935\u0930<\/strong>: \u0938\u092d\u0940 \u092a\u094d\u0930\u092f\u094b\u0917\u094b\u0902, \u092e\u0947\u091f\u094d\u0930\u093f\u0915\u094d\u0938 \u0914\u0930 \u0938\u0902\u092c\u0902\u0927\u093f\u0924 \u0915\u0932\u093e\u0915\u0943\u0924\u093f\u092f\u094b\u0902 \u0915\u094b \u0938\u0902\u0917\u094d\u0930\u0939\u0940\u0924 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/li>\n<li><strong>\u092a\u094d\u0930\u094b\u091c\u0947\u0915\u094d\u091f \u092a\u0930\u093f\u092d\u093e\u0937\u093e \u092b\u093c\u093e\u0907\u0932\u0947\u0902<\/strong>: \u0928\u093f\u0937\u094d\u092a\u093e\u0926\u0928 \u0935\u093e\u0924\u093e\u0935\u0930\u0923 \u0915\u0947 \u0932\u093f\u090f \u0915\u0949\u0928\u094d\u092b\u093c\u093f\u0917\u0930\u0947\u0936\u0928 \u0936\u093e\u092e\u093f\u0932 \u0939\u0948.<\/li>\n<li><strong>\u092e\u0949\u0921\u0932 \u092a\u0948\u0915\u0947\u091c\u093f\u0902\u0917<\/strong>: \u092e\u0949\u0921\u0932\u094b\u0902 \u0915\u094b \u0928\u093f\u0930\u094d\u092f\u093e\u0924 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u092a\u094d\u0930\u093e\u0930\u0942\u092a \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/li>\n<li><strong>\u0930\u091c\u093f\u0938\u094d\u091f\u094d\u0930\u0940 \u092f\u0942\u0906\u0908<\/strong>: \u0938\u092d\u0940 \u0938\u093e\u091d\u093e \u092e\u0949\u0921\u0932\u094b\u0902 \u0915\u0947 \u092a\u094d\u0930\u092c\u0902\u0927\u0928 \u0915\u0947 \u0932\u093f\u090f \u090f\u0915 \u0935\u0947\u092c \u0907\u0902\u091f\u0930\u092b\u093c\u0947\u0938\u0964<\/li>\n<\/ul>\n<h2>\u090f\u092e\u090f\u0932\u092b\u094d\u0932\u094b \u0915\u0940 \u092a\u094d\u0930\u092e\u0941\u0916 \u0935\u093f\u0936\u0947\u0937\u0924\u093e\u0913\u0902 \u0915\u093e \u0935\u093f\u0936\u094d\u0932\u0947\u0937\u0923<\/h2>\n<p>\u090f\u092e\u090f\u0932\u092b\u094d\u0932\u094b \u0915\u0940 \u092e\u0941\u0916\u094d\u092f \u0935\u093f\u0936\u0947\u0937\u0924\u093e\u090f\u0902 \u0907\u0938 \u092a\u094d\u0930\u0915\u093e\u0930 \u0939\u0948\u0902:<\/p>\n<ul>\n<li><strong>\u092a\u094d\u0930\u092f\u094b\u0917 \u091f\u094d\u0930\u0948\u0915\u093f\u0902\u0917<\/strong>: \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u0930\u0928\u094b\u0902 \u0915\u0940 \u0906\u0938\u093e\u0928 \u0924\u0941\u0932\u0928\u093e \u0915\u0940 \u0905\u0928\u0941\u092e\u0924\u093f \u0926\u0947\u0924\u093e \u0939\u0948\u0964<\/li>\n<li><strong>reproducibility<\/strong>: \u0915\u094b\u0921 \u0914\u0930 \u0928\u093f\u0930\u094d\u092d\u0930\u0924\u093e\u0913\u0902 \u0915\u094b \u0938\u092e\u093e\u0939\u093f\u0924 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/li>\n<li><strong>\u092e\u0949\u0921\u0932 \u0938\u0930\u094d\u0935\u093f\u0902\u0917<\/strong>: \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u092a\u094d\u0932\u0947\u091f\u092b\u093e\u0930\u094d\u092e\u094b\u0902 \u092e\u0947\u0902 \u0924\u0948\u0928\u093e\u0924\u0940 \u0915\u0940 \u0938\u0941\u0935\u093f\u0927\u093e \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/li>\n<li><strong>\u0905\u0928\u0941\u092e\u093e\u092a\u0915\u0924\u093e<\/strong>: \u091b\u094b\u091f\u0947 \u092a\u0948\u092e\u093e\u0928\u0947 \u092a\u0930 \u0935\u093f\u0915\u093e\u0938 \u0914\u0930 \u092c\u0921\u093c\u0947 \u092a\u0948\u092e\u093e\u0928\u0947 \u092a\u0930 \u0909\u0924\u094d\u092a\u093e\u0926\u0928 \u0935\u093e\u0924\u093e\u0935\u0930\u0923 \u0915\u093e \u0938\u092e\u0930\u094d\u0925\u0928 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/li>\n<\/ul>\n<h2>MLflow \u0915\u0947 \u0915\u094c\u0928-\u0915\u094c\u0928 \u0938\u0947 \u092a\u094d\u0930\u0915\u093e\u0930 \u092e\u094c\u091c\u0942\u0926 \u0939\u0948\u0902: \u0932\u093f\u0916\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0924\u093e\u0932\u093f\u0915\u093e\u0913\u0902 \u0914\u0930 \u0938\u0942\u091a\u093f\u092f\u094b\u0902 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0947\u0902<\/h2>\n<p>\u092f\u0926\u094d\u092f\u092a\u093f MLflow \u0938\u094d\u0935\u092f\u0902 \u0905\u0926\u094d\u0935\u093f\u0924\u0940\u092f \u0939\u0948, \u092b\u093f\u0930 \u092d\u0940 \u0907\u0938\u0915\u0947 \u0918\u091f\u0915 \u0905\u0932\u0917-\u0905\u0932\u0917 \u0915\u093e\u0930\u094d\u092f \u0915\u0930\u0924\u0947 \u0939\u0948\u0902\u0964<\/p>\n<table>\n<thead>\n<tr>\n<th>\u0905\u0935\u092f\u0935<\/th>\n<th>\u0938\u092e\u093e\u0930\u094b\u0939<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u090f\u092e\u090f\u0932\u092b\u094d\u0932\u094b \u091f\u094d\u0930\u0948\u0915\u093f\u0902\u0917<\/td>\n<td>\u0932\u0949\u0917 \u0914\u0930 \u0915\u094d\u0935\u0947\u0930\u0940 \u092a\u094d\u0930\u092f\u094b\u0917<\/td>\n<\/tr>\n<tr>\n<td>\u090f\u092e\u090f\u0932\u092b\u094d\u0932\u094b \u092a\u094d\u0930\u094b\u091c\u0947\u0915\u094d\u091f\u094d\u0938<\/td>\n<td>\u092a\u0948\u0915\u0947\u091c \u092a\u0941\u0928: \u092a\u094d\u0930\u092f\u094b\u091c\u094d\u092f \u0915\u094b\u0921<\/td>\n<\/tr>\n<tr>\n<td>\u090f\u092e\u090f\u0932\u092b\u094d\u0932\u094b \u092e\u0949\u0921\u0932<\/td>\n<td>\u0909\u0924\u094d\u092a\u093e\u0926\u0928 \u0915\u0947 \u0932\u093f\u090f \u092e\u0949\u0921\u0932 \u0915\u094b \u092e\u093e\u0928\u0915\u0940\u0915\u0943\u0924 \u0915\u0930\u0928\u093e<\/td>\n<\/tr>\n<tr>\n<td>\u090f\u092e\u090f\u0932\u092b\u094d\u0932\u094b \u0930\u091c\u093f\u0938\u094d\u091f\u094d\u0930\u0940<\/td>\n<td>\u092e\u0949\u0921\u0932 \u0938\u0939\u092f\u094b\u0917 \u0915\u0947 \u0932\u093f\u090f \u0915\u0947\u0902\u0926\u094d\u0930\u0940\u092f \u0915\u0947\u0902\u0926\u094d\u0930<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>MLflow \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0924\u0930\u0940\u0915\u0947, \u0938\u092e\u0938\u094d\u092f\u093e\u090f\u0901 \u0914\u0930 \u0909\u092a\u092f\u094b\u0917 \u0938\u0947 \u0938\u0902\u092c\u0902\u0927\u093f\u0924 \u0909\u0928\u0915\u0947 \u0938\u092e\u093e\u0927\u093e\u0928<\/h2>\n<p>MLflow \u0915\u0947 \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u0905\u0928\u0941\u092a\u094d\u0930\u092f\u094b\u0917 \u0939\u0948\u0902, \u0932\u0947\u0915\u093f\u0928 \u0915\u0941\u091b \u0938\u093e\u092e\u093e\u0928\u094d\u092f \u0938\u092e\u0938\u094d\u092f\u093e\u090f\u0902 \u0914\u0930 \u0938\u092e\u093e\u0927\u093e\u0928 \u0907\u0938 \u092a\u094d\u0930\u0915\u093e\u0930 \u0939\u0948\u0902:<\/p>\n<ul>\n<li><strong>DevOps \u092e\u0947\u0902 \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0947\u0902<\/strong>: \u092e\u0949\u0921\u0932 \u092a\u0930\u093f\u0928\u093f\u092f\u094b\u091c\u0928 \u0915\u094b \u0938\u0930\u0932 \u092c\u0928\u093e\u0924\u093e \u0939\u0948, \u0932\u0947\u0915\u093f\u0928 \u091c\u091f\u093f\u0932 \u0939\u094b \u0938\u0915\u0924\u093e \u0939\u0948\u0964\n<ul>\n<li>\u0938\u092e\u093e\u0927\u093e\u0928: \u0935\u094d\u092f\u093e\u092a\u0915 \u0926\u0938\u094d\u0924\u093e\u0935\u0947\u091c\u093c\u0940\u0915\u0930\u0923 \u0914\u0930 \u0938\u093e\u092e\u0941\u0926\u093e\u092f\u093f\u0915 \u0938\u092e\u0930\u094d\u0925\u0928\u0964<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u0938\u0902\u0938\u094d\u0915\u0930\u0923 \u0938\u0902\u092c\u0902\u0927\u0940 \u0938\u092e\u0938\u094d\u092f\u093e\u090f\u0902<\/strong>: \u092a\u0930\u093f\u0935\u0930\u094d\u0924\u0928\u094b\u0902 \u092a\u0930 \u0928\u091c\u093c\u0930 \u0930\u0916\u0928\u0947 \u092e\u0947\u0902 \u0915\u0920\u093f\u0928\u093e\u0908.\n<ul>\n<li>\u0938\u092e\u093e\u0927\u093e\u0928: MLflow \u091f\u094d\u0930\u0948\u0915\u093f\u0902\u0917 \u0918\u091f\u0915 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0947\u0902\u0964<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u090f\u0915\u0940\u0915\u0930\u0923 \u0938\u092e\u0938\u094d\u092f\u093e\u090f\u0902<\/strong>: \u0915\u0941\u091b \u0909\u092a\u0915\u0930\u0923\u094b\u0902 \u0915\u0947 \u0938\u093e\u0925 \u0938\u0940\u092e\u093f\u0924 \u090f\u0915\u0940\u0915\u0930\u0923.\n<ul>\n<li>\u0938\u092e\u093e\u0927\u093e\u0928: \u0928\u093f\u092f\u092e\u093f\u0924 \u0905\u092a\u0921\u0947\u091f \u0914\u0930 \u0938\u092e\u0941\u0926\u093e\u092f-\u0938\u0902\u091a\u093e\u0932\u093f\u0924 \u090f\u0915\u094d\u0938\u091f\u0947\u0902\u0936\u0928\u0964<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>\u0924\u093e\u0932\u093f\u0915\u093e\u0913\u0902 \u0914\u0930 \u0938\u0942\u091a\u093f\u092f\u094b\u0902 \u0915\u0947 \u0930\u0942\u092a \u092e\u0947\u0902 \u0938\u092e\u093e\u0928 \u0909\u092a\u0915\u0930\u0923\u094b\u0902 \u0915\u0947 \u0938\u093e\u0925 \u092e\u0941\u0916\u094d\u092f \u0935\u093f\u0936\u0947\u0937\u0924\u093e\u090f\u0902 \u0914\u0930 \u0905\u0928\u094d\u092f \u0924\u0941\u0932\u0928\u093e\u090f\u0901<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0935\u093f\u0936\u0947\u0937\u0924\u093e<\/th>\n<th>\u090f\u092e\u090f\u0932\u092a\u094d\u0930\u0935\u093e\u0939<\/th>\n<th>\u0905\u0928\u094d\u092f \u0909\u092a\u0915\u0930\u0923<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u092a\u094d\u0930\u092f\u094b\u0917 \u091f\u094d\u0930\u0948\u0915\u093f\u0902\u0917<\/td>\n<td>\u0939\u093e\u0901<\/td>\n<td>\u092d\u093f\u0928\u094d\u0928<\/td>\n<\/tr>\n<tr>\n<td>\u092e\u0949\u0921\u0932 \u092a\u0948\u0915\u0947\u091c\u093f\u0902\u0917<\/td>\n<td>\u092e\u093e\u0928\u0915\u0940\u0915\u0943\u0924<\/td>\n<td>\u0905\u0915\u094d\u0938\u0930 \u0915\u0938\u094d\u091f\u092e<\/td>\n<\/tr>\n<tr>\n<td>\u0905\u0928\u0941\u092e\u093e\u092a\u0915\u0924\u093e<\/td>\n<td>\u0909\u091a\u094d\u091a<\/td>\n<td>\u092d\u093f\u0928\u094d\u0928<\/td>\n<\/tr>\n<tr>\n<td>\u092d\u093e\u0937\u093e \u0938\u092e\u0930\u094d\u0925\u0928<\/td>\n<td>\u0935\u093f\u092d\u093f\u0928\u094d\u0928<\/td>\n<td>\u0938\u0940\u092e\u093f\u0924<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>MLflow \u0938\u0947 \u0938\u0902\u092c\u0902\u0927\u093f\u0924 \u092d\u0935\u093f\u0937\u094d\u092f \u0915\u0947 \u092a\u0930\u093f\u092a\u094d\u0930\u0947\u0915\u094d\u0937\u094d\u092f \u0914\u0930 \u092a\u094d\u0930\u094c\u0926\u094d\u092f\u094b\u0917\u093f\u0915\u093f\u092f\u093e\u0902<\/h2>\n<p>MLflow \u0932\u0917\u093e\u0924\u093e\u0930 \u0935\u093f\u0915\u0938\u093f\u0924 \u0939\u094b \u0930\u0939\u093e \u0939\u0948\u0964 \u092d\u0935\u093f\u0937\u094d\u092f \u0915\u0947 \u0930\u0941\u091d\u093e\u0928\u094b\u0902 \u092e\u0947\u0902 \u0936\u093e\u092e\u093f\u0932 \u0939\u0948\u0902:<\/p>\n<ul>\n<li><strong>\u0909\u0928\u094d\u0928\u0924 \u0938\u0939\u092f\u094b\u0917 \u0938\u0941\u0935\u093f\u0927\u093e\u090f\u0901<\/strong>: \u092c\u0921\u093c\u0940 \u091f\u0940\u092e\u094b\u0902 \u0915\u0947 \u0932\u093f\u090f.<\/li>\n<li><strong>\u092c\u0947\u0939\u0924\u0930 \u090f\u0915\u0940\u0915\u0930\u0923<\/strong>: \u0905\u0927\u093f\u0915 \u0924\u0943\u0924\u0940\u092f-\u092a\u0915\u094d\u0937 \u0909\u092a\u0915\u0930\u0923\u094b\u0902 \u0914\u0930 \u0938\u0947\u0935\u093e\u0913\u0902 \u0915\u0947 \u0938\u093e\u0925\u0964<\/li>\n<li><strong>\u0905\u0927\u093f\u0915 \u0938\u094d\u0935\u091a\u093e\u0932\u0928<\/strong>: \u090f\u092e\u090f\u0932 \u091c\u0940\u0935\u0928\u091a\u0915\u094d\u0930 \u0915\u0947 \u092d\u0940\u0924\u0930 \u0926\u094b\u0939\u0930\u093e\u090f \u091c\u093e\u0928\u0947 \u0935\u093e\u0932\u0947 \u0915\u093e\u0930\u094d\u092f\u094b\u0902 \u0915\u094b \u0938\u094d\u0935\u091a\u093e\u0932\u093f\u0924 \u0915\u0930\u0928\u093e\u0964<\/li>\n<\/ul>\n<h2>\u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948 \u092f\u093e MLflow \u0915\u0947 \u0938\u093e\u0925 \u0915\u0948\u0938\u0947 \u0938\u0902\u092c\u0926\u094d\u0927 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948<\/h2>\n<p>\u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930, \u091c\u0948\u0938\u0947 \u0915\u093f OneProxy, \u0915\u093e \u0909\u092a\u092f\u094b\u0917 MLflow \u0935\u093e\u0924\u093e\u0935\u0930\u0923 \u092e\u0947\u0902 \u0928\u093f\u092e\u094d\u0928 \u0915\u0947 \u0932\u093f\u090f \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948:<\/p>\n<ul>\n<li><strong>\u0938\u0941\u0930\u0915\u094d\u0937\u093e<\/strong>\u0938\u0902\u0935\u0947\u0926\u0928\u0936\u0940\u0932 \u0921\u0947\u091f\u093e \u0915\u0940 \u0938\u0941\u0930\u0915\u094d\u0937\u093e \u0915\u0930\u0928\u093e.<\/li>\n<li><strong>\u092d\u093e\u0930 \u0915\u093e \u0938\u0902\u0924\u0941\u0932\u0928<\/strong>\u0938\u0930\u094d\u0935\u0930\u094b\u0902 \u0915\u0947 \u092c\u0940\u091a \u0905\u0928\u0941\u0930\u094b\u0927\u094b\u0902 \u0915\u093e \u0935\u093f\u0924\u0930\u0923.<\/li>\n<li><strong>\u0905\u092d\u093f\u0917\u092e \u0928\u093f\u092f\u0902\u0924\u094d\u0930\u0923<\/strong>: \u0905\u0928\u0941\u092e\u0924\u093f\u092f\u093e\u0901 \u0914\u0930 \u092d\u0942\u092e\u093f\u0915\u093e\u090f\u0901 \u092a\u094d\u0930\u092c\u0902\u0927\u093f\u0924 \u0915\u0930\u0928\u093e.<\/li>\n<\/ul>\n<p>\u0935\u093f\u0936\u094d\u0935\u0938\u0928\u0940\u092f \u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 MLflow \u0915\u094b \u091a\u0932\u093e\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u090f\u0915 \u0938\u0941\u0930\u0915\u094d\u0937\u093f\u0924 \u0914\u0930 \u0915\u0941\u0936\u0932 \u0935\u093e\u0924\u093e\u0935\u0930\u0923 \u0938\u0941\u0928\u093f\u0936\u094d\u091a\u093f\u0924 \u0915\u0930\u0924\u093e \u0939\u0948, \u0935\u093f\u0936\u0947\u0937 \u0930\u0942\u092a \u0938\u0947 \u092c\u0921\u093c\u0947 \u092a\u0948\u092e\u093e\u0928\u0947 \u0915\u0947 \u0905\u0928\u0941\u092a\u094d\u0930\u092f\u094b\u0917\u094b\u0902 \u092e\u0947\u0902\u0964<\/p>\n<h2>\u0938\u092e\u094d\u092c\u0902\u0927\u093f\u0924 \u0932\u093f\u0902\u0915\u094d\u0938<\/h2>\n<ul>\n<li><a href=\"https:\/\/mlflow.org\/\" target=\"_new\" rel=\"noopener nofollow\">MLflow \u0906\u0927\u093f\u0915\u093e\u0930\u093f\u0915 \u0935\u0947\u092c\u0938\u093e\u0907\u091f<\/a><\/li>\n<li><a href=\"https:\/\/databricks.com\/product\/managed-mlflow\" target=\"_new\" rel=\"noopener nofollow\">\u0921\u0947\u091f\u093e\u092c\u094d\u0930\u093f\u0915\u094d\u0938 MLflow \u092a\u0947\u091c<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/mlflow\/mlflow\" target=\"_new\" rel=\"noopener nofollow\">MLflow GitHub \u0930\u093f\u092a\u0949\u091c\u093f\u091f\u0930\u0940<\/a><\/li>\n<li><a href=\"https:\/\/oneproxy.pro\/in\/\" target=\"_new\" rel=\"noopener\">OneProxy \u0935\u0947\u092c\u0938\u093e\u0907\u091f<\/a><\/li>\n<\/ul>\n<p>\u092f\u0939 \u0932\u0947\u0916 MLflow, \u0907\u0938\u0915\u0947 \u0918\u091f\u0915\u094b\u0902, \u0909\u092a\u092f\u094b\u0917\u094b\u0902 \u0914\u0930 \u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930 \u0915\u0947 \u0938\u093e\u0925 \u0907\u0938\u0915\u0947 \u0938\u0902\u092c\u0902\u0927 \u0915\u0947 \u092c\u093e\u0930\u0947 \u092e\u0947\u0902 \u0917\u0939\u0928 \u091c\u093e\u0928\u0915\u093e\u0930\u0940 \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0924\u093e \u0939\u0948\u0964 \u092f\u0939 \u0905\u0928\u094d\u092f \u0938\u092e\u093e\u0928 \u0909\u092a\u0915\u0930\u0923\u094b\u0902 \u0915\u0947 \u0938\u093e\u0925 \u0924\u0941\u0932\u0928\u093e \u0915\u093e \u0935\u093f\u0935\u0930\u0923 \u092d\u0940 \u0926\u0947\u0924\u093e \u0939\u0948 \u0914\u0930 \u0906\u0927\u0941\u0928\u093f\u0915 \u092e\u0936\u0940\u0928 \u0932\u0930\u094d\u0928\u093f\u0902\u0917 \u0935\u093f\u0915\u093e\u0938 \u0915\u0947 \u0907\u0938 \u0905\u092d\u093f\u0928\u094d\u0928 \u0905\u0902\u0917 \u0915\u0947 \u092d\u0935\u093f\u0937\u094d\u092f \u092a\u0930 \u0928\u091c\u093c\u0930 \u0921\u093e\u0932\u0924\u093e \u0939\u0948\u0964<\/p>","protected":false},"featured_media":468919,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-478029","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>MLflow: A Comprehensive Overview<\/mark>","faq_items":[{"question":"What is MLflow and why was it created?","answer":"<p>MLflow is an open-source platform designed to manage the entire machine learning lifecycle. Created by Databricks and announced in 2018, it encompasses tracking experiments, packaging code, standardizing models, and providing a collaboration hub. Its primary goal is to simplify the processes involved in developing, managing, and deploying machine learning models.<\/p>"},{"question":"What are the main components of MLflow?","answer":"<p>The main components of MLflow are MLflow Tracking, which logs and queries experiments and metrics; MLflow Projects, which packages code into reusable components; MLflow Models, that standardizes the process of moving models to production; and MLflow Registry, a centralized hub for collaboration and model management.<\/p>"},{"question":"How does MLflow ensure reproducibility and scalability?","answer":"<p>MLflow ensures reproducibility by encapsulating code and dependencies, making it easy to replicate experiments. It offers scalability by supporting both small-scale development environments and large-scale production systems. The standardized model packaging and deployment features further enhance its scalability.<\/p>"},{"question":"What types of problems can arise while using MLflow, and how can they be resolved?","answer":"<p>Common problems with MLflow include complexity in deployment, versioning issues, and integration problems with some tools. These can be resolved through comprehensive documentation, utilizing the MLflow tracking component for versioning, and regular updates or community-driven extensions to enhance integration.<\/p>"},{"question":"How can proxy servers like OneProxy be associated with MLflow?","answer":"<p>Proxy servers like OneProxy can be utilized with MLflow for security by protecting sensitive data, load balancing by distributing requests across servers, and access control by managing permissions and roles. They ensure a secure and efficient environment for running MLflow, particularly in large-scale applications.<\/p>"},{"question":"What are the future perspectives and technologies related to MLflow?","answer":"<p>The future of MLflow includes enhanced collaboration features for larger teams, better integration with more third-party tools and services, and increased automation within the machine learning lifecycle. It continues to evolve to meet the needs of the rapidly advancing field of machine learning.<\/p>"},{"question":"Where can I find more information about MLflow?","answer":"<p>You can find more information about MLflow on the <a href=\"https:\/\/mlflow.org\/\" target=\"_new\">official website<\/a>, the <a href=\"https:\/\/databricks.com\/product\/managed-mlflow\" target=\"_new\">Databricks MLflow page<\/a>, and the <a href=\"https:\/\/github.com\/mlflow\/mlflow\" target=\"_new\">MLflow GitHub repository<\/a>. If you are interested in how it relates to proxy servers, you can also visit <a href=\"https:\/\/oneproxy.pro\" target=\"_new\">OneProxy's website<\/a>.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/wiki\/478029","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/wiki\/478029\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/media\/468919"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/media?parent=478029"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}