- Created by Former user , last modified on May 10, 2023
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Overview
Check the list of available endpoints and methods in the model management API:
Endpoints and methods | Description |
|---|---|
GET | Get detailed information about a model. |
PUT | Replace the data of an existing model. |
POST | Create a new model. |
DELETE | Delete a model. |
PATCH | Update an existing model. |
GET | List the available models in the current domain. |
GET | Get the binary image of a model. |
Endpoints and methods
GET /models/{name}
Get detailed information about a model.
In order to work with Model Management you need to activate Machine Learning permissions in your role. Go to Administration → Roles → Permissions → Machine Learning and activate the view and manage permissions in Models.
Learn more about roles and permissions in Role permissions.
Request
Path parameters
Add the following path parameters as part of the endpoint:
Parameter | Type | Description |
|---|---|---|
|
| Enter the name of the model you want to get information about. |
Query string parameters
Query string parameters are optionally added after the path parameters, preceded by a question mark (?) and separated by an ampersand (&)
Parameter | Type | Description |
|---|---|---|
|
| If it is Default value is |
Example
Find below a request example in cURL language:
curl -X 'GET' \ 'https://api.stage.devo.com/mlmodelmanager/v3/models/fresh%20model' \ -H 'accept: application/json' \ -H 'standAloneToken: cc81f6f5c73634002183d80b1fb736ec'
Response
Code | Description |
|---|---|
200 | Returns the retrieved model. {
"id": 24,
"name": "fresh model",
"engine": "H2O",
"location": "domains/self/2f3ae14a-d405-4a2e-b6c8-8693be5c85fd",
"description": "fresh",
"updateDate": 1683723909000,
"creationDate": 1683723625000,
"domainName": "self",
"outputType": "float8",
"image": {
"image": 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MnotI/7f62A3WXaHzNxZr+BrGwyUh0aGSgnlvA/dlyrGHdbeOsN2jzzlHaRxfgKRQ/pbAPdjWi0fAWdrH6xiv097f9EZPV4cncbGIVqNig72dBK52Cw82v/DZn7QwX0p2c8VjOpqMZBEqOdirwP3sRHiz05/ODYv+NoZb8H7UVISkWPYGRh0igHa/oElpNpxhPzNl39W05vcUvw7RetQ/UEsHCPgBYAEfAwAAEAQAAFBLAwQUAAgICAA8TXJVAAAAAAAAAAAAAAAAEQAAAHRyZWVzL3QwMF8wNDguYmluY2BkYNlmk+qwn4GJgVXVM8wumoGBgZWBwcJRE8hgYWDQcBT4AJRKS7tmG8zjbnXXyHfnB0YG1jMudg6Fvy/t8n/ctBuisAeoEMyocNzq8cBy0qnfez6AjVrimNezwfrhwRArBqg81OgIoA6g9ce0wx3OXS3Z+acmbBfI6L+zAxziRGt3OnSvswK5yvFYox3U6CWOr7sP7nnlP88a5KZukQl2B3ee3v37zN2dQIUst7fNAjofyGjQm2anCWJwmlqAtQJdscKxIsfEqvxssyXIjjb9dAdFljbrmCseVhAP74E5f4qjPn/3npJH93eDFD5+UeDA8POfdSG/J9gxnhvn2MkeALrawLvcAeR8VgP7HIcbydNs/udusi6T3mYDMa4CHGwsG4Uv2rm8nWk9qXWCDSw0Dii77ObXF7MGAFBLBwifjoiRPAEAAHsBAABQSwMEFAAICAgAPE1yVQAAAAAAAAAAAAAAABUAAAB0cmVlcy90MDBfMDQ4X2F1eC5iaW5Nkn9MlHUcx79wx9lhcsChSAYhmJcNlJytyff5+X2e507lMBGKE03oB8mWbmputAg9xsHlw7VuK0yzjEgJ0zxcS9s9d5fVmo6cOOiITZwUzNaWP2rLE0TrczzfY322975/vN57fz6f7z4IIWQBuT845UCDql0uPRw8s/oHnHdMVdK+90tJwJJB8XcOCL3SaEcn3nVUW534Ppeq3dobIGUTXsUAyAgyUKH8uzKqc9nXGfxa9/r9uL7iDf6880sSz3iIZsUzkXBNRsghoYne4OMrjeGXnC9yhmkrH58pnc6m1xRBXQNyw8Bd3M8jbXRwI2dVt2EOCE+9erkJpEu2q62hgo8Kwz9eP8BNb/dwAhCR9p7p66+0I/Sh9OqRFry4ZwezZ/ILElb9fAagTFBGIs4V99WJu4p9+PDWjyNZY0eJ+a0RHpogiXr1KiLI7ZHUwBa2eNLIjNe38D7RxsJySPnf36BouwPVvaMMM1rQOuAMbT3bpvxcohIzoFSQOTHf2XoHuviYPfPNFdoCNYS9o/nKgfSobAWUBbIm2oouyKtWPk3J0XLTTKGatTF5w0iWDEMjB/XOVO8hBd0+pmwpztPSl9cw/3or5MhOl7wG0FraO0nfA9Z6Wyk0lUa8akQrOLFD7Ngnk/lAFoDmz+47F3xGcv3mrsjEuMLeij0jWp44xK8DUka9et0kaI1HWdm7N5zbpWotqUlicqCAOIGU09uauau+Zjvq+lY+Engfx+acZPLv/0FeWFIkpQAygVIS/1fUBKstli63f4bl7qXhv367QmIPhoW5gB6OT5XYo67Qjg4GlNKoiE1hC/N70CtM2oZINqCFoOzEeOc8MrqQae/0/oqj55bg1toyYfyXNn49oGepVy9GQt8cV5a12djXzffwVw0e0fT5abIBSAXtrf9fO5xGiDS/lhxpHD3JVO5uFfKi1/gcII+AcmbzHgXfmDg1WBzZf6Mj3PtnO/v0343CRiCV1KuXH872IOna/AlbXnkPRztW8Jb+Zr4KyHP0b5JnfAsJGgvKhn4LJz35HiOILUKGzybNA5IGmjc73wjklYid5Apb1f0yd+dqk9DQ53tqERAWtGi2bwn43OKlacztM9eyjqkzvHF7jvA8kGqaSfMkNOaRt2XXslXLyjHa9B05le8juUDyQLmJOPdPcC8XxM4GgY31rOJ69nxNjh89LbgAbaJevc5LSFgq9xX9ExoKagwJDQnDSU2kBshm0H9QSwcIoKuFBJ8DAACwBAAAUEsDBBQACAgIADxNclUAAAAAAAAAAAAAAAARAAAAdHJlZXMvdDAwXzA0OS5iaW5jYGBgZWCwcFzGwMjAYucb7OAHYnzZ5eAgY8DIwOrd2WtvaTnJ6gOQfTRgqz0P07tdB2oKdzIwMbBuz3W2E/gA1q/hKLLthJVcc+XuD0CJiisT7Wwf9O58++gCSCHL9tzDdpogHWLyRWAdLCAdBW9CrYS/7dwF1MHSm7LS7lChwO6i3KO7DkDlBUASaWnP7H62TN9pZhC/XYDr/C6QcZNUztlFA13J2jNF1wFsrrFxsB1Y+cxIZbuUnKNWX9SzdwGdzMLkoOWwNGj+rlRvtj0gf7WzFDgIgCRm/slzCJw+1XKpgxfIySzGxsV2AoUHLOd0sFsfAPJt1BXtNUF2mCyUdAAbLbL7gZ1t3OLdjvU6e0D8rr8C9nGucru07MStMyMabABQSwcIqS/rpyMBAABJAQAAUEsDBBQACAgIADxNclUAAAAAAAAAAAAAAAAVAAAAdHJlZXMvdDAwXzA0OV9hdXguYmluTZN5SBRRHMffqluepK66mllbYgfl0WZtOrOzO9dOmqZloqX+lZpJ1EYlFlLWGkV2EIlYCUnSYUQK3r2ZsKyU0lKIDv/oQKmUSqzULDt+szst/eDLg/f58n7Hew8hhHxAiNYLKMMqfDAYcMTgTEI9cco09/RZXgXIBSSvM2RffLSAOmju4fWluODbRvFG6i5Tea9odAXkBnJV/Gi/RkDoFd8yQ4utN0/ggOox6vLwEDUTkDtIXh2ho5FVIxztWkWWM1r8XjNOJua8pVYC8VXkCDONcjWCcKdC/P4pCNva5hlHBx5RBiCrlTNVdp83i2pe8mW5KonJ34vr/1yj3LoiST8g/iA/53nHaIQmmHOD+8kvY6GSZ9cs427iEBUnt6h4HWlrOdTXwCdlLsdPTx7G+vlF8TW/VSQBiPyvZ9ThziGUy4YXl4suFzbjnit7jFlDQYQHIE+Qh7O+agaVjrDvpPOEPqROtP1IIVVbbYQGSABI46yvjJF7ftCoJqt2F4ju3VOEmS6MMgKhFK89SjGLkMjoTzWJj7uLxGXtrXFtlTUxJrl0Jbcjbwb4Uumx+CU4Mf+QqP+8JO74eGVUIJBVoEBnXhP4OmhDvhEvOODVXrVvMtL+PECMcrf2u+tPEVCwi2U0Op0IUDfiku6d/M8VOZxaeSfqf3MpnWDRULJgnXtXHG7KIzKbU5jXtu28l3xTIC9nfeGQ9zJrIBaQre4R0sT6cPPtfI7RAgkGaZ31IfB5MyVdReTUd38xT5tu8vEdkItGnOJ1BA9bajZ5kSBSr65KaYlTdH3hCZoHYlFy2/NmhwhIt8Firl1G6BY/IL7qt/FZnWlMCKDZoJB/x+UEw3s+yEb8iiee9E2LYaMFfO1IiRk20RrFa497sRb0ZoTbeNJKdBbWka79Z8wJ101MAqBEZTb2uXxUQRkx9CbvW9i2Q0d9Ls7mwo4sNst/MRY5/qRjLgEMylRZvHUV0paEBjxJlZqMUdlcKJA5oFBnvw1wRVa6d2WS5HfxuaTN2WOqu1RLrgWSpHjt8WIaRkCwLc/u42YfiVw4nsb1fHFhkgGtA/0FUEsHCNuj3f4kAwAAEAQAAFBLAwQUAAgICAA8TXJVAAAAAAAAAAAAAAAACQAAAG1vZGVsLmluaXVSTYvbMBC9z6/IvcRIstN8QA9bupSFdAsl7SUEodhje7ayZPSRkn/fsePCXnrTm3maj/fmTK71F+iV1zcMkbxbfVqVRbkrRKFg8G/v47KoBFiq0UVk+DSausfVcQn8WniqEGBs55nRXYf5GSj1A+OvwTSELq0+ex8TuW71jUuQQ0DXkHEOY2Ta8eV0Oj7r59cvL0+vUJuEXOLOiR/YBaZwF8iZGo6sq7IsP+7EVm73Su43qoKYRww3ijjlU8gITrdoUuav03IMa2tinJGckLd5cBOqGDV+MDQjAVdjjavxHb81NiI02Jpsk0491+y9nTqJYgNjIB8ebN1QTIGunDnLQlxYywbtf3KJBozJDCNHlFBqLeVa7k5if6jkYbMteK8PQh6EAIy1GXEZUt+MzfNYy5op4Aw34h/QrMWj6bys7tA9BkFX+2ZygH38efoOmk3q9Bj8G9aJBdYmBDNp7rK1sAyc0+MQOpPZBeP4GNxv3WZXLwlq2F1KdyBHSbezLOW+lEqxT9uKn1UJcF4Uv4BF16We3U/Bj3cY9c3/QRthMHxm5HNk8mLIBf4CUEsHCKXYMAusAQAArAIAAFBLAwQUAAgICAA8TXJVAAAAAAAAAAAAAAAAHgAAAGV4cGVyaW1lbnRhbC9tb2RlbERldGFpbHMuanNvbu19+3PbVpbm7/tXoLi1NXItJOP9cE+6Kn604xk7ztpOeqqyWQxEQhJiEuAAoGSlK/u37/edewGCBEmbskW3tZpJW8TBfZx73ue+8I9RksyyJh09+seoHl9kszS5zKo6L4vRI9dsQUU6y0aPRs8fv3pVTrLpL+6oe9Vcz/uvRn+aoxl/JPmEbe7RutT/9+x6Q+uA/qu8/ivb1+Un52kynqZ1nZ/lWYU6w8Lm6Oc3LwF66D4USP1wrRJaS6fnJYqcn85G6iE5W0yn3ZCrdJJnRWM8Lsu6yYtz41U6vsiLDIWrrJ6XRZ0l43K6mBVtlVk6zcd5uaiJUpWlzQz1V8sU6MEcTdImTc4qgexFqb+xznZKyes+pebXiR0ldT5JUie0VymlC/coJZD64VoltNbkgDfpbD56ZAdBFAZWbMVxEJqji/QyS+bl7yBkUy0yDZj1ADen8rclTfOU1GuA1ujRr/sj/FNb/a2824D8i3E26aHdUcccTdNT6N8K6CKbglmjpxmJmjbo2MgnxllZGc1FXhtS8i9GumjK4/OsyKq0ySZGfmYUZWPU82zMYU1ORNT/a5FX6PnRWTqts83UmWRn6WLaJJfpdNEJeTpuFum0hX0LLMyL+WJtENPsUkg7rvImH6dTtCPvyeTfUKPGoGanWZWUZ0qhey8WHP/0Osk+jKeLOodeXOXNhXp/XuWT9HSaabL+aR5AYpoqzQuomLY8S7kZvNDS82JilGcQmMxoSxi0XIYU+5hwdOblSwvHV7KBK8LxLSB8l0QXiKNTmrGB8G54NRDfZZlvVYDjm8hD/BUF+AsgfPsCzAjlIPJbnJXTSd2T2g6gZfXHBUdCeZUX4qn//Zi/jXFV1vVxT4SPLKMpjUlecxAGCv71O8N5sEuc86IZyrG1LsTWmoxYd8uGvM+yeSLETHo2QyKhPmc+Ukzz6+8XGQxLRUawgliZAaNUpV2MOS3LaZYWQ+bo2HmFPwq2wiIFarmUfZhnVXP3eDQH5fIxf36cUatld3CrV7B1E1+SgbrYKgc1cIWFGnbXeUhTljDYPi+YFX+Uj8Py+2ieGM5l7XsO7sXBelxWWZIhEU/yhrkhG18ybMvrIX+koDFZVMwcWN7oylPlRLu61OKgPKqzcVlM0ur622dTU2VZAgefVZfin1e5tP5WM+mtcIaqo5iQnqGEAeJU10ZdGrO0uDZYtT4xnqo4Q2YH6qwhX61bjTXuBG+2m7uthu3JR4yYIR1mJhkhjaiJRSOv12ZtjHfg67+8bahpBPyLUc6lwat8OjVqBb8W7qtg8zStwV8UIKid20TSVOUkmynBaDtTMla4zasSr2Y7fWNWLGZDURh9//O716N1eVBJ1YpItAV3ykVb6E1aTEr2BnYtpiV+LMc/+saShR5z1+Wmg7Yyo0SA6G5xgnkxyT70pWjONOO0pkFgqV0M/CUbv9VSVX1aHryBjavzaPsp9/rM1Mf4tT4xj06usvz8oqmXANABtq8lJYPE8uwMhq0t8XV4PkS85fvwjeb9m3VFNVSJL8vRvcYOceya3zDmld4x9u2rJxvFgeh91jzGQdC7Uco8nIIdTGt9VPb3lnRzxaZ8Hbkf4tjK/fBNO1VCmjF+1G8YkajCan3jE+JJ+ECU+PW3T1OBX0fi/Fi4nKFxolLW9Nz14lS9+m1NLD+tylcTlU8wk58sKoeLqRSTgURRC2JDaVl9104DK9mQVykcoBabw03L3IXJs3VxaOm+Dtc0fy3g1iEhIEWQKtHnaWakkwmiTSitZO7l7LRdoOyp9Gl2Rp6l8/n0mskji07z4r1xtijG31zYcksqOrSQX9+eD5BsBWXwYkME2wtLDV3+xHieX1IC6nKWrRRIdRGKzR9ZVTIPokCA1AxzIV9C1Akr541xVpUzESMuAEE2/2Kcq4bTYq3ZKpvi52XWa98ZNl5l8yxtlGymjVGVV0ZzlY+zE+PH7LxfvzZSSDIzNHC6vGJ+9mPZZI+Mv/deIyg/ZhMbKAAEJ8aklBbyYlxlwF4GUud/ZO3MZW9VSykb/gODaHWmKtMrugUG2czBcaI/FFMDySamcbpo0EtxzOmCc5RVgi741Yv5vKy4RyCFImfT6YnxVE3rtKJusr1a8fECiKN+O4BZ2nB2YQZhNY3JImt1f5pW7GaKtKXTa07LHp9BO8vqxHhxZlyXC5l10Lz4zrDEyQv2ps5Xm0VVALPlhK6ihAG2dLzBQEVISMxGEwjULKsqGzegWWmcoxfIQjoeL7gbotcchpbNSjAUxOyNskXpu93zIXfUGn0LweVpOk2LcaZ2eWT9cGH4Rpujx+rF2oYHKQbntCggzpd5akAaqocLpNbVcZ3O5lOWPKJg5jPd9ERq7lyV+5ZmNQ/GMyF10hI1Uaagz7qtBZZbnkjsjSySuedapkAUS4/ywphmH/JxeV6l84t8bJQVajwQ27Myq2YaXSu6y2VAs2gQ5Dfa2CKiAYdUhFOeNhAj3ZcWjHY+vMtTjDdKProSrVTukp2zaZk2n5rAfNSg3NaSxcGkZpZ+SGQOO2lpSO/Yk5qtBbTUvEo/5LPFbOn8+9511RiouXLVDIErxuFoDB8CmZhmgMH7FIZ9Yj34DB4POeyfDGbTBbTCX4HcKfbCtJ0talmLT5G+f9jE4W1lNJN/fZrBq48Z7fxmtBwXRh/9d0Mz5IGa7W4bMqShcSazDKeMChgdcVpVJONleV7vuxbiDNjnrHPPuWvLIYUsJvW41QEG+1/UstO+RPWHOjFQiYPsZzmoTkyyOTBY1YEWtmbYSFZD3nH/EGV8UUzzWQ5h3n/rkD8g9jqt7xap8yJh3N+n9BKkCf237CqruyTPOFLpAajbT+qYdCB5Qdh3tovok3LBEQ7obltD269gK9RXoDvEgOI0X5kbbp9b0kOakd9mFYfZzSEdIVWePoT8PmBqm3MtFZlp3TDUm9HSHCE3BCfq5oHeFM9Vb7YsiWWB2G+aNyqLzGD7wdx5qdThNu39XWFX0pTzRA1qjXErbz6fhbNyyMGWa1VZksfoSvN0kukZlNNrHceLz7kqJSlokdqLv7bleEOlJGxNKQm6S6maYibCqYFqtsAecxl1nZdr7NWZ1Dbu7qOVJ8YPatZJz1oxDodySxrGmSfJB8/ypvnI0tA9i1eWpZ0E/JjPQbT+kvQKVDO5B1RbUoxpWXB+rzd3WEy6pFnPH7W7io6N+VT0coH/te3AwyKBB+M7AJCHCElDHawpp1klmTWEpAHLT4yfquySS7WGpgeF6QfntXFVLqaqJsTqvcrCEW0aVxQsytOb/+MYug/IBwSD26vBiyyb1CKON3HaJ2EcBrFru14UOK7th89cKxqI05ZSqwK2pdBdErk15vfEbvhGi96ztJpedwKx3M4EYgC784yyAQlYk6IT4y0FgQKYzyB9MBNqQQB10nOpMc2KcwTM79uJgHU5nJSZ2nyFBirOEDOufv/ouzVMZSOk7IG8zGSSoL+B/8G+xuifZC/d4QVCEX2TQHRv2qRHsQdEpjkhU7JVETnitrFHsFDnavVhsMHNRKRwmYtV4csqO6+yWkwJbU9alLMUFFIbXFngRV1O1bINnB2c0gO1yqMWIMYLdDyTmupnohdyZPqIC1AFkDsV4ydTC88fv5LST9/8Ta01UPh+um4uKNTT/CM7mg+5766lEssrYuLXq7fP8O8b9efV9/rhJf9+//MT9e9Pb1glP2skGjyHoswBmOX1Kh8Iy9IiQXSmpsySrKpKLqSs8ADPirLdjx6Jv7X9f0PPtknm+y+7HWF68nLpEimbSjuOlVnsVIB5BsJtnieqtR3sJj+1OZP9gnp7aZsr6aBsMb7YZbi2+UIkppY9sF8KuGrDFOwu2TFOzlSLgsuvCcazMpswfLU2fdNOK+hSNBKKJsp4rW2lN36G2es7mZtMNmyYaxhONazMNNwFLtUI9frqph7bbfN4EnrP62wxKY1Kdh23a+v6ID1eH0GZuHcFRuwjHp4x8pD0xwMd8aw4DOPY813PQgTo+OG6xhzbd2oOQRJCdXyhLLKkQCP99duNb1szuKBHxX/cdjHJxLv+hQlJkSHRr95LKnjB3JA7Hs6yKy4HzpEt0P0iKlzkjWynJaPrGRf99Z6R+5Ng+/EQ9KiKhLspeqxbAWqOvSRML9BmxpHs1YFloQHj8tmNjNcGNzN0MndLZ5akTdKiyNLpatq+5XV3JCidqo1F0xVunF4rl69ny/RJIR7mkiWFo+zk/MQEt+KYuTL/xg+MG6XJw6nt4cz2XXM38M8IzmCHVo/YrYHbrQ09aLdj6gslAqPzdIG4WwzYzdMBEL0okVLk+P1fC0TfpznC9Fy0qqwmeSG/ZsBmCe91PC/zupYhnaezWYq/zRVcbq7sx3yaSrSLhhEEiQxdLE5lV5UO/r8x5rcDSdLp/CLtsX/wYm1vS/teXNT/ah+WSaqJAB2h+iknSEnBAsEg80n7ZnHgYLlPQGum1L9biqkFL5kj7K56rFmHa868U2BDwMKWFrKLK7ZwxbnRUuCQK/aAK/Zd44ro+0BdVqG7dOUHlnz46rg3n3PUXODnBc/KtWxBlQm3iqmJZrhJOETZprpVr3YuoW9XrHioWPFAseK7xUK8G79vF1K7TX19YJv6Sk67fKN2XdeLWW9DFkfyJW8p+8Jbb/9J43LZyZitB+ar0DaXKq/UxsdMRYNcJVVx3xcI0vcP+e5AkN4j83JWczMbVt5rhnwPe1TLoYRqlTUr21q7mTwQQ2+JL3XULiVMY5195rIE+ftRbt7vPe0MWjlNNmvU8M3qoZe+Yt3r05chfzK+SItzpTrru08+oej6TLoq0l0Q1ONblyCL3sjNGdKIcdTGCH8VdjI++NfvEOQdiKV3TZ+EPdokbWNkr8h2DfvKrusuxG7c9Sj7b5LeClF/HWPL+zaiQ9C2ssl+ZZ0J3ELgzZBdlvhQarJY+q5Ub/wByy7S+TzbNe+xg2nPjjekTQq6zjoB3iXudXur1Pte/rT+orvKidusAKL9W+7M6i2rn+WFHLDkBTOzdKp5JOH6rq0ye01M/Vzk6Gr2/SSdU2g+a35q2FZ3cUw7jVI/n5an4hHfcPPGm/JUju/rmniEdf/WJprk9MtpnXDfMZdE5Ja8tfXHTe/XFyFPa5jVJlN77CgUaiuzWmZZHpi8kWoebJPUN+8gSeikKPM6S04hvVf5ZOUQwJbX3QFHDTKO6vx8lj4gG5/rKVhDZmZl3VLss7Ri/N8fj2xTF1Y3bGTZOstvsjFu/wXmb551vV2wSVaMy8nqCs2W1+02Nw3RF4GpXUu9bbVnWdosquyLGd5nqvDNra1u4HWR/VA2L3gJnZr/V4BnHyhoOdn5OC9UE8/yc/HsL0kQGa9Msr4tq+bxdXvhkW75pTq98q3ZYnAqP5WoVTZtrHB//Y1mPHdz/ISQqTG4SCf71zQHHxhq71lTFvnYeLOc1YSPRtHxYsrIt2t4oucHeHtbeprDV+e84u+Jfs+K3I7GoCyfZGrfdHcgnp8SmMlEAy/q2NDODrm7XxzfKgeb7jTf9K6d1pabHrotP72SH5kG3ec68682afN1yI+KF+VkC/27l21m2VMW9U4HxF/K7Iqma0X/mPkd8qEtsdZKayOWJuIL2c0Dckzt61S7GRMuf/c5tullN5lzllWyCZxWUe3FzUiwdGUhXWZAYeAeGf85TYvzRXqePXqfXfO6se9Yhj/+cweT1aVi9+sMA471NzNs4dumIju41y9+z7YvzTYYFcRbyXLlrQZ/+mvgWwu0axQrF2Ko0sbyM0PqVnV1C1Beg5m8g6esrj9+Y989l5Zcyouku9hnO6t2l+puHs4kTFy+N/BPaYDWOW9W6jhkXF1wJb1bfkX8N+ZFF+AigkPejrQo1AbkF4wk60yFilBangO7WDST8qowFdt7C7v6zgw5/aAWeZsUEvPpNzneRzUfEYptl4R/avlWUHqL8Z9yd3iHPyVkoU5lTa/VcbsdksnSWvZ2sH7zSc3BlNH67NBdYvesLBjW6XsvSc2Vs7hbXncrybNUHQWpeC1KnRVynZ2uhHSyV0udKPiftlyrV8Dhwh2nhdE/xtQVlhWvYymqbk+6NtL23PVqyY/s3PiFbPli68x3wuiLoiTtVaZJtZwRWdlJs7FEX4fVaR99f/TyHvm2mlx/lRVy778+dg1u8xysukietwteVLDlbGfl0vhlW+nyxlUh9wma1KdR2jaV/ZATwSIQ3CuXVhO5O6nc3PBpJkc019rmLAik9v5LO58uSeegdy3n79bu1hi80HLznPCHL/HCUMcjljdKsuCJYRk8qVd3TD45MZ4qUmsmwSaoEt2Faaz5MQ+/0cwPD8gc7zoPcyd0P12M1xfueqDuhFJjaFoZvW3Wxvc/P5GVvC91brSF3nxy+MfXP6rjoU/evE5e/8LjoH9/9uL5D++ePdWP7avXq69ef2szvhJHqW1YWxz19hKdr+YlCVxw0+cAWzu7rLhz/rW98PyffteWUieAykWDzve84L/9FvVrqbz5Y9XqXcsekUh1zB+FEQJV5ZziOk8uQWe5Rnx58T/RqvJznmJIdGVFFf2lAHYiDf6obrKhlO/49Vt7OzzrSEOr/+D9tu/Qtf3u+vrZtjLc6gzq9ssqZsmnlrdUWvtqzaCC+vSwXo26lmmbbqKxfVsvZjMag/14+u6qfJrP3lE8NjC097ancWrr8FvdHyW+Hle5xC54O2oZRrrvwoUuZBUZta2I9/nWj1OJqnZq/miYp6rJKkD+Rz1EbLc5+mx0lMemcra3762eQl3iNhngtryg753UPRiquV43/Cyc28XHwyCvxT3/gzl0cnrd7Im3Fl9eTImg+LHUv22UgWh7c+AeiOYFgzxWu238ejcb7oFf+uFQ+PGSijUEu30PSxRP/LMhkqh6ICTBZCRBl/uKI7n8UtU7AJtvgiH5fCAMyeh1FPfhdIsmvDsyaLk2WGaleMYc/ujXEeKCX32r/ceOXTfmQ/u/E0IdG/+4/McJTuzffvuTWMsdQ4ns0zuIl32rbzX6Qfd472fbs4P8wkKTzuZ74vWuq3fLCE4W3ZaBffB72la7j1M6VrdT2NVMCu9nEN61CylyV9KhUJ2ln4Epr3M6FKK9y6VuiO3TtoVbRrmXKd1IEH5ZfrXxEKLQTyhvIAw9bA8gDj1kbywQPYyXIrHigf0VF2z+U/4Hdz9yLMc5tu1jOzKs+JFnP/JCvPo8aHQPFWh8D72H/n8OpY3h2Tg34gVzKIQHN4qXD35kLx9Cv/cQW277YJ9YvrN8sANv+eAE9vLBtXvF3KDXgGf3H/pvfKf/0G/Nj+PlQ+D6vYeg/xCHy4fQiXoPfv9NHCwfIrf/EPZai/voxEHXmgMier2HJaJ4iPzlg21bvQfX7T34/Yew14Ad9xpw7KD34PYf+p06UQ8d1+o17TpO78Hr1XH9uPfQx9qzeq15/QY8r/+mTxAv6j34dq+Y7/aa9v3+Q6jqQDAt0zYd0zU90zcDMzQjMzZtAG3TdkzbNW3PtH3TDkw7NO3ItGPTsUwHdRzTcU3HMx3fdALTCU0nMp3YdC3TtU0XTbqm65mub7qB6YamG5lubHqW6dmm55geevRMzze9wPRC04tMLzYlObc4Is+D3AZOFMUh2gfIi6M4ch07dD3Pj0OC7ABM9mzfs23Xh1yZVKrADzwHNI1jPwJyAAVW7AWoztKOy8ZcFLO9KIxCzwuD0JGadozXkeXxIsAgCtiDazleGFmxFdlRbIWWCxhQctAzOMCjUG7ILhxIOLoMIwc1AowPoMB3oxDQMPa9GKMDyA+CMPQcL7CjIHBdac2DfgO70Assy0ILAkPJMCIOgW3FDkFuCKjlW6ETuq4V+AJzojiwOBYHXA+lOSd2gAAqoxiIJeWcwAWNXN+3fd+xBV+IcxD6IACvPYws6RWv4gjDArYWOyfMhuZFaNTFc2CHgoodoTtQJAYBAl+1By3yMPjARvdWKOO3AysittJ95Al2tu+gG7AqhrVxFFFssMCHpOMfC92rchiTZbugZxT7ruqB4wljoGJj+JYMzHZi23bAA9AlQAkFA7lBXGBmObHqAY3jHxdVQ5JHYEA/ji3Pj9BtoBC2IQ+glA8zEqJrBUPTIWTQc0ltBXIAiSIodAyJUj2ATV4c+q5lQWgVvoDAjoee7eGnQteKHMiS48FKWJpuVsAhichiIBrkok+QyrMwBF3Th5DaxB89a7pZPsgUOeBf5EaWGpXlWewmdkI70DXBOgwIAuT6akgQcg4LRaFffqhgsHxeGBNnz9FjsmyInO0EICOYoFuzIiAH8gcOxFi3ByQDoIDRBp5qzyKDQwt/0aat8AUMIujFJCRVSCk6B+q5wDaAZgqnPTcmnUIIvg1xcEgUWEXwCi25ITygEn9onmN5XgS0HRoLgrwgQFXSg4IeSjEMB6IYx+RC4ARCpxhiALX2gZETQ8tEhWMQFKOFXsPAuDIOiLDv06KgkchWY/PA0ZBjhghZWq5FKkMIQAxmWI5irR+Dt55PdYF0CgwUtyMXugzFiiIxHdAYqD8wB01scJ44o4oXgbtoAvRWMga7B6cMtQtALegTQQF4FoDQ0GOIvGis7UegIwhF/YxUtzYYQ92BslPEHWnO8yGppCh8EbCRcqAw7J8L8xODaUJSGFY39mBhQ9gFoBAKDAhQ1CEJaFWsApTCJr8gWxYlTcFcL4SRpLKDTa70i+gIvIaxQBeQVekDhiUAS2jZaIRigXlUQpAAdieGEgqMRsX1PR+yQY4KDGaT4g/Rh5UX3QOVQDaQ3YVQu6LIVKoYXIO9B0MsMXioAfsCJvqWYKqqAgeQBsOKQzgeVQ6jpXJA8cAWT5WzeGesFcMUeRgw+6CAw9RB3eB4YKttgUU01xGcTEQn5AksRBU6ILgsB5IkMEhuCNyglmwlEJgfR74Lcw7aoDNVF/2D6VAhN2QVgcFdOmADLTIMoq9gYBltpwch9oNYYOBkAD1w0S0I4yoYHRx6pczHGhcXQ41RHRYHmKtxwOjhMYRVwjAs1Z5D44ZeQF0aewUDWfHkw//ZrqXGAXEFfnB5EAXfckTz6aKh/JFPAYfHER2E6rBrmmbIn6fEHnSCI4WziWDrlezGnnhrmE1wVOkCRAcOCE8++giVWBERqpxFZyiaSl46hFo2ggdFUTRHCwepp2DJKCDdCDVALKAIyyOjDSF6dojw1yEHPAWDtsAaQYbgakRY8BSR5bDwUD9wUGAOu/WhcXDAsWIui4HG7B7NQMwFGNCbxRaDA7BBOATEPL5ABQRDihs+cIXphJWj11FVoRwMGICfH1m2qgrhAokhg35oa4ZjOAEsGawulNQXXaMeBNBH0NcFi0MxGoyDXJpkSCpoKIoPGGJneityo4UFQQyzTE0ASwMFciH/aAjSAFUXmwatimOoYICCFD6FDMImYAMjC4sYxbocowtUgsIi6og00HVpX8BfgH0NsxFfeRgzVDoQVw+Y5dNcUXMom6ogVCoO4a0ReDmxEg56DgRoAUhvuWCeogOMFJADKcVXOwoGy4pe4DYhsi1MTDFEDQYVLNMNInyKiDzFxHI1jMg4cIJQiEDRCw7OpnF3GKA6umNQGJ4qhhmN9Uhgh4EDuA8BCTRpIPYMZmHeYnpDxSdoOJwjLBsMUIsK6kFxgJnnwAXryuIJ4T3RaejpTiCXtkt1AqXtWNcGslBZeCnoVKgRZLCL8NCBKYZ90D3D+tL5wPbAcenKFqWPLooRRAuDKKB+6IqktyE+pDBiefgV5eVhiOFpXPIAPBZbjkgb3IUzQIgPF6lC/JBmEJ4UYZIyTxAiWiBwHpE7jJmK8fFIDqBa7Km4F2JpYwgoBasIAyIwC/4Ybg7CD+URHjGujhiVQt1IVoFB1kKGX9Bf6IsK+wNG5Qg44Jfg3iQUQFBti/2jL1SRsE+nh7ExYAwjHUSAiPTdtEOxCq4go7CRsEbQawxIyimDAaZzFLZ4UOhoDLlhQI4eHJFIcBQROLMVmg5LgeAMYUxtekZbGVPEbFBCSCO46mkviAZiRoQe27J1ZoHgxePgRSo1Ksw+4IoYDlAwVIxDdxQw2kKe5MYKFjFMAC0R9kQqkkRI5FO0wXsmDQKjJrMsBuXpWBsBI2wtIhWHKqkC2oCJUEyPyeRFgZjQ0QgDl1CH0UztkMnAhkH7VIwHswIZYS4HboS6V3p2VLOZ8+io3xd5jxhNhjpzQbwCzBCLAMW4zVwYO6CI8FZRmH6IbgJ+n1ZHgSDRITUDjjZ2dDGQBvECOBlDixRy9C02KwbMN1sYQDChiPqsWKcuGALqUFlskEu3h2hcxW1IrSyFsqTHNuUfUY4SYpvWh+SAGaZLUDAwBkRHlIKY3dF9wBLRljItiHVVuO+YAgsq6KwPXEcxjA9yp1McChd4AF1Bk56vYR4kM4anhs9rY3xYNcgD4hWkOcQDJtClPUHgxYhL8nuQldmZ4zPlFhsNbw758xjRQtFDQQ3+yKE9hdGQDFGUmsJg0z1isGoAdDXIZWixQxWd0bBaNOpI1Cjtor4MBWE7Ke9QeRkU40MwCeoKL6BcksOQEJoON+fZlFwlrZKVkei2zlKQjsS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},
"category": "Regression",
"fields": [
{
"id": 0,
"name": "length",
"description": "",
"type": "float8"
},
{
"id": 1,
"name": "entropy",
"description": "",
"type": "float8"
},
{
"id": 2,
"name": "p_vowels",
"description": "",
"type": "float8"
}
],
"clusters": [],
"parentId": null,
"hidden": false,
"runtimeSize": 78608,
"fileSize": 77728
}
|
404 | Returns a message when the model name is not found in the server. |
500 | Returned when an error occurred internally in the server. |
PUT /models/{name}
Replace the data of an existing model.
In order to work with Model Management you need to activate Machine Learning permissions in your role. Go to Administration → Roles → Permissions → Machine Learning and active the view and manage permissions in Models.
Learn more about roles and permissions in Role permissions.
Request
Path parameters
Add the following path parameters as part of the endpoint:
Parameter | Type | Description |
|---|---|---|
|
| Enter the name of the model you want to replace the data of. |
Request body
The request JSON body must include an object with the following key-value pairs:
Parameter | Type | Description |
|---|---|---|
|
| The engine used to train and execute the model. |
|
|
|
|
| The description of the model. |
Example
Find below a request example in cURL language:
curl -X 'PUT' \ 'https://api.stage.devo.com/mlmodelmanager/v3/models/fresh%20model' \ -H 'accept: application/json' \ -H 'standAloneToken: cc81f6f5c73634002183d80b1fb736ec' \ -H 'Content-Type: multipart/form-data' \ -F 'engine=H2O' \ -F 'fileName=@Example_test (1).zip;type=application/zip' \ -F 'description=fresh'
Response
Code | Description |
|---|---|
200 | Returns a replaced model. {
"id": 24,
"name": "fresh model",
"engine": "H2O",
"location": "domains/self/2f3ae14a-d405-4a2e-b6c8-8693be5c85fd",
"description": "fresh",
"updateDate": 1683723908575,
"creationDate": null,
"domainName": null,
"outputType": "float8",
"image": null,
"category": "Regression",
"fields": [
{
"id": 0,
"name": "length",
"description": "",
"type": "float8"
},
{
"id": 1,
"name": "entropy",
"description": "",
"type": "float8"
},
{
"id": 2,
"name": "p_vowels",
"description": "",
"type": "float8"
}
],
"clusters": [],
"parentId": null,
"hidden": false,
"runtimeSize": 78608,
"fileSize": 77728
}
|
500 | Returned when an error occurred internally in the server. |
POST /models/{name}
Create a model.
In order to work with Model Management you need to activate Machine Learning permissions in your role. Go to Administration → Roles → Permissions → Machine Learning and activate the view and manage permissions in Models.
Learn more about roles and permissions in Role permissions.
Request
Path parameters
Add the following path parameters as part of the endpoint:
Parameter | Type | Description |
|---|---|---|
|
| Enter the name of the model you want to create. |
Request body
The request JSON body must include an object with the following key-value pairs:
Parameter | Type | Description |
|---|---|---|
|
| The engine used to train and execute the model. |
|
|
|
|
| The description of the model. |
Example
Find below a request example in cURL language:
curl -X 'POST' \ 'https://api.stage.devo.com/mlmodelmanager/v3/models/fresh%20model' \ -H 'accept: application/json' \ -H 'standAloneToken: cc81f6f5c73634002183d80b1fb736ec' \ -H 'Content-Type: multipart/form-data' \ -F 'engine=H2O' \ -F 'fileName=@Example_test (1).zip;type=application/zip' \ -F 'description=fresh'
Response
Code | Description |
|---|---|
200 | Model has been successfully saved to the server. {
"id": 24,
"name": "fresh model",
"engine": "H2O",
"location": "domains/self/84c212b7-879a-406e-90c2-d704942843e4",
"description": "fresh",
"updateDate": 1683723624663,
"creationDate": 1683723624663,
"domainName": null,
"outputType": "float8",
"image": null,
"category": "Regression",
"fields": [
{
"id": 0,
"name": "length",
"description": "",
"type": "float8"
},
{
"id": 1,
"name": "entropy",
"description": "",
"type": "float8"
},
{
"id": 2,
"name": "p_vowels",
"description": "",
"type": "float8"
}
],
"clusters": [],
"parentId": null,
"hidden": false,
"runtimeSize": 78608,
"fileSize": 77728
}
|
409 | The model already exists. |
500 | Returned when an error occurred internally in the server. |
DELETE /models/{name}
Delete a model.
In order to work with Model Management you need to activate Machine Learning permissions in your role. Go to Administration → Roles → Permissions → Machine Learning and activate the view and manage permissions in Models.
Learn more about roles and permissions in Role permissions.
Request
Path parameters
Add the following path parameters as part of the endpoint:
Parameter | Type | Description |
|---|---|---|
|
| Enter the name of the model you want to delete. |
Example
Find below a request example in cURL language.
curl -X 'DELETE' \ 'https://api.stage.devo.com/mlmodelmanager/v3/models/a%20new%20model' \ -H 'accept: */*' \ -H 'standAloneToken: cc81f6f5c73634002183d80b1fb736ec'
Response
Code | Description |
|---|---|
200 | Model successfully deleted. |
404 | Model not found. |
500 | Returned when an error occurred internally in the server. |
PATCH /models/{name}
Update an existing model.
In order to work with Model Management you need to activate Machine Learning permissions in your role. Go to Administration → Roles → Permissions → Machine Learning and activate the view and manage permissions in Models.
Learn more about roles and permissions in Role permissions.
Request
Path parameters
Add the following path parameters as part of the endpoint:
Parameter | Type | Description |
|---|---|---|
|
| Enter the name of the model you want to update. |
Request body
The request JSON body must include an object with the following key-value pairs:
Parameter | Type | Description |
|---|---|---|
|
| The name of the model. |
|
| The engine used to train and execute the model. |
|
| The storage location of the model. |
|
| The description of the model. |
|
| The last time the model was modified. |
|
| The time when the model was created. |
|
| The name of the domain where this model belongs. |
|
| The type of the output value generated by this model as a prediction. |
|
| The binary image or file with an actual trained model. |
|
| The type of model. |
|
| The size of the model while running in bytes. |
|
| The size of the model file in bytes. |
Example
Find below a request example in cURL language.
curl -X 'PATCH' \
'https://api.stage.devo.com/mlmodelmanager/v3/models/fresh%20model' \
-H 'accept: application/json' \
-H 'standAloneToken: cc81f6f5c73634002183d80b1fb736ec' \
-H 'Content-Type: application/json' \
-d '{
"name": "fresh model",
"engine": "H2O",
"location": "string",
"description": "fresh",
"updateDate": 0,
"creationDate": 0,
"domainName": "self",
"outputType": "float8",
"image": {
"image": "float8"
},
"category": "Regression",
"fields": [
{
"id": 0,
"name": "fresh model",
"description": "fresh",
"type": "float8"
}
],
"clusters": [
{
"id": 0,
"name": "string",
"description": "string",
"centroid": [
0
]
}
],
"runtimeSize": 78.6,
"fileSize": 0
}'
Response
Code | Description |
|---|---|
200 | Returns the patched model. {
"id": 24,
"name": "fresh model",
"engine": "H2O",
"location": "domains/self/2f3ae14a-d405-4a2e-b6c8-8693be5c85fd",
"description": "fresh",
"updateDate": 1683725008565,
"creationDate": 1683723625000,
"domainName": null,
"outputType": "float8",
"image": null,
"category": "Regression",
"fields": [
{
"id": 0,
"name": "fresh model",
"description": "fresh",
"type": "float8"
},
{
"id": 1,
"name": "entropy",
"description": "",
"type": "float8"
},
{
"id": 2,
"name": "p_vowels",
"description": "",
"type": "float8"
}
],
"clusters": [],
"parentId": null,
"hidden": false,
"runtimeSize": 78,
"fileSize": 77728
}
|
400 | Returns a message when the model name is not found in the server or the received patch JSON is incorrect. |
500 | Returned when an error occurred internally in the server. |
GET /models/{name}
List the available models in the current domain.
In order to work with Model Management you need to activate Machine Learning permissions in your role. Go to Administration → Roles → Permissions → Machine Learning and activate the view and manage permissions in Models.
Learn more about roles and permissions in Role permissions.
Request
Path parameters
There are no path parameters for this request.
Example
Find below a request example in cURL language.
curl -X 'GET' \ 'https://api.stage.devo.com/mlmodelmanager/v3/models' \ -H 'accept: application/json' \ -H 'standAloneToken: cc81f6f5c73634002183d80b1fb736ec'
Response
Code | Description |
|---|---|
200 | Successful response. [
{
"id": 24,
"name": "fresh model",
"engine": "H2O",
"location": "domains/self/2f3ae14a-d405-4a2e-b6c8-8693be5c85fd",
"description": "fresh",
"updateDate": 1683723909000,
"creationDate": 1683723625000,
"domainName": "self",
"outputType": "float8",
"image": null,
"category": "Regression",
"fields": [
{
"id": 0,
"name": "length",
"description": "",
"type": "float8"
},
{
"id": 1,
"name": "entropy",
"description": "",
"type": "float8"
},
{
"id": 2,
"name": "p_vowels",
"description": "",
"type": "float8"
}
],
"clusters": [],
"parentId": null,
"hidden": false,
"runtimeSize": 78608,
"fileSize": 77728
},
{
"id": 21,
"name": "dga_classifier_onnx_demo",
"engine": "ONNX",
"location": "domains/self/823b3522-895c-411e-a4f3-2762db27a6fc",
"description": null,
"updateDate": 1681900499000,
"creationDate": 1681900499000,
"domainName": "self",
"outputType": "array(float4)",
"image": null,
"category": "ONNX",
"fields": [
{
"id": 0,
"name": "field_0",
"description": "",
"type": "array(float4)"
}
],
"clusters": [],
"parentId": null,
"hidden": false,
"runtimeSize": 880,
"fileSize": 3881
},
{
"id": 20,
"name": "graeme_test2",
"engine": "ONNX",
"location": "domains/self/b96fe0d9-74f2-4f51-a301-ff7573c0f6bd",
"description": null,
"updateDate": 1681804104000,
"creationDate": 1681804104000,
"domainName": "self",
"outputType": "array(float4)",
"image": null,
"category": "ONNX",
"fields": [
{
"id": 0,
"name": "field_0",
"description": "",
"type": "array(float4)"
}
],
"clusters": [],
"parentId": null,
"hidden": false,
"runtimeSize": 876,
"fileSize": 229468
},
{
"id": 19,
"name": "graeme_test",
"engine": "ONNX",
"location": "domains/self/82178f93-af1b-4d1b-9438-67b842a6bee8",
"description": null,
"updateDate": 1681738747000,
"creationDate": 1681738724000,
"domainName": "self",
"outputType": "array(float4)",
"image": null,
"category": "ONNX",
"fields": [
{
"id": 0,
"name": "field_0",
"description": "",
"type": "array(float4)"
}
],
"clusters": [],
"parentId": null,
"hidden": false,
"runtimeSize": 876,
"fileSize": 229468
},
{
"id": 17,
"name": "dga_scoring",
"engine": "ONNX",
"location": "domains/self/85132b1f-59fa-4859-9198-e6ce49258916",
"description": "DGA domain label scoring",
"updateDate": 1678361980000,
"creationDate": 1678361980000,
"domainName": "self",
"outputType": "array(float4)",
"image": null,
"category": "ONNX",
"fields": [
{
"id": 0,
"name": "field_0",
"description": "",
"type": "array(float4)"
}
],
"clusters": [],
"parentId": null,
"hidden": false,
"runtimeSize": 892,
"fileSize": null
},
{
"id": 16,
"name": "pokemon_onnx",
"engine": "ONNX",
"location": "domains/self/dd374598-af8e-4542-8663-e7e8e0cdbf38",
"description": "this is the description",
"updateDate": 1678201475000,
"creationDate": 1678201449000,
"domainName": "self",
"outputType": "array(float4)",
"image": null,
"category": "ONNX",
"fields": [
{
"id": 0,
"name": "field_0",
"description": "",
"type": "array(float4)"
}
],
"clusters": [],
"parentId": null,
"hidden": false,
"runtimeSize": 876,
"fileSize": 229468
},
{
"id": 4,
"name": "gptest",
"engine": "ONNX",
"location": "domains/self/126e92c2-d724-40cf-a6cf-3dc9f63e9219",
"description": "",
"updateDate": 1676390228000,
"creationDate": 1676390228000,
"domainName": "self",
"outputType": "array(float4)",
"image": null,
"category": "ONNX",
"fields": [
{
"id": 0,
"name": "field_0",
"description": "",
"type": "array(float4)"
}
],
"clusters": [],
"parentId": null,
"hidden": false,
"runtimeSize": 876,
"fileSize": 229468
},
{
"id": 2,
"name": "RRCF",
"engine": "IDA",
"location": "domains/self/f868583b-011d-48ea-970c-eb059f06b951",
"description": "Testing RRCF in Flow",
"updateDate": 1676291578000,
"creationDate": 1676291578000,
"domainName": "self",
"outputType": "float8",
"image": null,
"category": "Rrcf",
"fields": [
{
"id": 0,
"name": "dimension_0",
"description": "",
"type": "float8"
}
],
"clusters": [],
"parentId": null,
"hidden": false,
"runtimeSize": 23764,
"fileSize": 227
}
]
|
500 | Returned when an error occurred internally in the server. |
GET /images/{name}
Get the binary image of a model.
In order to work with Model Management you need to activate Machine Learning permissions in your role. Go to Administration → Roles → Permissions → Machine Learning and activate the view and manage permissions in Models.
Learn more about roles and permissions in Role permissions.
Request
Path parameters
Add the following path parameters as part of the endpoint:
Parameter | Type | Description |
|---|---|---|
|
| Enter the name of the model you want to get the binary image of. |
Example
Find below a request example in cURL language.
curl -X 'GET' \ 'https://api.stage.devo.com/mlmodelmanager/v3/images/RRCF' \ -H 'accept: */*' \ -H 'standAloneToken: cc81f6f5c73634002183d80b1fb736ec'
Response
Code | Description |
|---|---|
200 | Returns the model file as an octet stream. {
"metadata": {
"id": 123456,
"name": "human_usable_saved_name",
"algorithm": "rrcf",
"version": "1.0"
},
"data": {
"dimensions": 1,
"shingle": 10,
"treeSize": 256,
"trees": 20
}
}
|
404 | Model not found. |
500 | Returned when an error occurred internally in the server |
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