Registry
This notebook provides examples of how to register and retrieve models on the platform using the package. For more details, refer to the API documentation.
To run these examples, you need to create an account on the platform to generate your API key.
Load the API key saved in a .env file
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import os
from dotenv import load_dotenv
load_dotenv()
api_key = os.getenv("API_KEY")
import os
from dotenv import load_dotenv
load_dotenv()
api_key = os.getenv("API_KEY")
The cell below contains the code to get all the models registered on the platform:
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from mosqlient import get_all_models
get_all_models(api_key)
from mosqlient import get_all_models
get_all_models(api_key)
Out[2]:
[eduardocorrearaujo/short_term_arima_model, eduardocorrearaujo/short_term_lstm_model, eduardocorrearaujo/3rd_imdc_emap_lstm_muni, EzequielEBS/3rd_imdc_emap_epidematicos, luabida/test, eduardocorrearaujo/3rd_imdc_emap_example, eduardocorrearaujo/3rd_imdc_emap_lstm, eduardocorrearaujo/example_imdc_2026_model, eduardocorrearaujo/dengue-oracle-1, americocunhajr/D-FENSE-3, americocunhajr/D-FENSE-2, americocunhajr/D-FENSE-1, eduardocorrearaujo/baseline_week, luabida/ADCaptura-container, eduardocorrearaujo/probabilistic_forecast, eduardocorrearaujo/2nd_IMDC_sprint_results, americocunhajr/D-FENSE, hadrianang/imperial-mosqlimate-sprint2025, anabento/DengueSprint_Cornell-PEH, DavideNicola/ISI_Dengue_Model, chlobular/ghr-imdc-2025, davibarreira/jbd-mosqlimate-sprint, lsbastos/sprint2025, eduardocorrearaujo/dengue-oracle, ChenXiang1998/2025-Infodengue-Sprint, DiogoParreira/ZKI-PH, haridas-das/DS_OKSTATE_2025, graeme-dor/dengue-sprint-2025, marciomacielbastos/MosqlimateSprint2025, lacidufrn/infodengue_sprint_2025, rick0110/Preditores_da_Picada, eduardocorrearaujo/lstm_transf_to_state, fernandacvalente/kidenguPeppa, haridas-das/DS_OKSTATE, lsbastos/bb-m, giovemoiran/infodengue-sprint-lsl, ChenXiang1998/Infodengue-Sprint, eduardocorrearaujo/sprint-template, eduardocorrearaujo/tutorial_mosqlimate, eduardocorrearaujo/prophet_models, eduardocorrearaujo/forecast_models_dengue]
The cell below contains the code to retrieve all models related to the sprint registered on the platform. Check the documentation for additional filters that can be applied:
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from mosqlient import get_models
get_models(api_key, imdc_year=2024)
from mosqlient import get_models
get_models(api_key, imdc_year=2024)
Out[3]:
[luabida/test, eduardocorrearaujo/lstm_transf_to_state, fernandacvalente/kidenguPeppa, haridas-das/DS_OKSTATE, lsbastos/bb-m, giovemoiran/infodengue-sprint-lsl, ChenXiang1998/Infodengue-Sprint]
The cell below shows how to filter a model using its id:
After fetching a model, you can access any of its properties:
repository;description;category;time_resolution;imdc_year;predictions_count;active;created_at;last_update.
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from mosqlient import get_model_by_repository
model = get_model_by_repository(api_key, name="probabilistic_forecast", owner="eduardocorrearaujo")
model.repository
from mosqlient import get_model_by_repository
model = get_model_by_repository(api_key, name="probabilistic_forecast", owner="eduardocorrearaujo")
model.repository
Out[4]:
'eduardocorrearaujo/probabilistic_forecast'
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from mosqlient import get_predictions
get_predictions(api_key=api_key, model_owner="lsbastos")[:10]
from mosqlient import get_predictions
get_predictions(api_key=api_key, model_owner="lsbastos")[:10]
Out[5]:
[Prediction <1>, Prediction <107>, Prediction <111>, Prediction <115>, Prediction <116>, Prediction <143>, Prediction <205>, Prediction <225>, Prediction <308>, Prediction <886>]
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from mosqlient import get_predictions_by_disease
get_predictions_by_disease(api_key=api_key, disease="A92.0")
from mosqlient import get_predictions_by_disease
get_predictions_by_disease(api_key=api_key, disease="A92.0")
Out[7]:
[Prediction <5354>, Prediction <5355>, Prediction <5356>, Prediction <5357>, Prediction <5358>, Prediction <5359>, Prediction <5360>, Prediction <5361>, Prediction <5362>, Prediction <5363>, Prediction <5364>, Prediction <5365>, Prediction <5366>, Prediction <5367>, Prediction <5368>, Prediction <5369>, Prediction <5370>, Prediction <5371>, Prediction <5372>, Prediction <5373>, Prediction <5374>, Prediction <5375>, Prediction <5376>, Prediction <5377>, Prediction <5378>, Prediction <5379>, Prediction <5380>, Prediction <5381>, Prediction <5382>, Prediction <5383>, Prediction <5384>, Prediction <5385>, Prediction <5386>, Prediction <5387>, Prediction <5388>, Prediction <5389>, Prediction <5390>, Prediction <5391>, Prediction <5392>, Prediction <5393>, Prediction <5394>, Prediction <5395>, Prediction <5396>, Prediction <5397>, Prediction <5398>, Prediction <5399>, Prediction <5400>, Prediction <5401>, Prediction <5402>, Prediction <5403>, Prediction <5404>, Prediction <5405>, Prediction <5406>, Prediction <5407>, Prediction <5408>, Prediction <5409>, Prediction <5410>, Prediction <5411>, Prediction <5412>, Prediction <5413>, Prediction <5414>, Prediction <5415>, Prediction <5416>, Prediction <5417>, Prediction <5418>, Prediction <5419>, Prediction <5420>, Prediction <5421>, Prediction <5422>, Prediction <5423>, Prediction <5424>, Prediction <5425>, Prediction <5426>, Prediction <5427>, Prediction <5428>, Prediction <5429>, Prediction <5430>, Prediction <5431>, Prediction <5432>, Prediction <5433>, Prediction <5434>, Prediction <5435>, Prediction <5436>, Prediction <5437>, Prediction <5438>, Prediction <5439>, Prediction <5440>, Prediction <5441>, Prediction <5442>, Prediction <5443>, Prediction <5444>, Prediction <5445>, Prediction <5446>, Prediction <5447>, Prediction <5448>, Prediction <5449>, Prediction <5450>, Prediction <5451>, Prediction <5452>, Prediction <5453>, Prediction <5454>, Prediction <5455>, Prediction <5456>, Prediction <5457>, Prediction <5458>, Prediction <5459>, Prediction <5460>, Prediction <5461>]
The cell below contains the code to search for predictions registered on the platform within a specified date range:
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from mosqlient import get_predictions_between
get_predictions_between(api_key=api_key, start="2024-01-01", end="2024-02-01")[:10]
from mosqlient import get_predictions_between
get_predictions_between(api_key=api_key, start="2024-01-01", end="2024-02-01")[:10]
100%|██████████| 3/3 [00:03<00:00, 1.00s/requests]
Out[8]:
[Prediction <6>, Prediction <7>, Prediction <14>, Prediction <20>, Prediction <21>, Prediction <30>, Prediction <32>, Prediction <35>, Prediction <38>, Prediction <42>]
After fetching a prediction, you can access any of its properties:
id;adm_level;disease;description;case_definition;model;to_dataframe();
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from mosqlient import get_prediction_by_id
p = get_prediction_by_id(api_key, 2945)
from mosqlient import get_prediction_by_id
p = get_prediction_by_id(api_key, 2945)
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p.disease
p.disease
Out[12]:
'A90'
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p.model.imdc_year
p.model.imdc_year
Out[13]:
2025
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p.to_dataframe().head()
p.to_dataframe().head()
Out[14]:
| date | lower_95 | lower_90 | lower_80 | lower_50 | pred | upper_50 | upper_80 | upper_90 | upper_95 | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2024-10-06 | 3.000 | 5.0 | 11.0 | 33.00 | 92.0 | 272.00 | 743.4 | 1388.50 | 2194.625 |
| 1 | 2024-10-13 | 3.000 | 6.0 | 11.9 | 34.75 | 104.0 | 279.25 | 783.2 | 1342.05 | 2488.325 |
| 2 | 2024-10-20 | 3.975 | 7.0 | 11.9 | 36.00 | 103.0 | 312.00 | 732.2 | 1385.20 | 2454.125 |
| 3 | 2024-10-27 | 3.000 | 7.0 | 13.0 | 37.00 | 107.0 | 302.00 | 811.9 | 1500.05 | 2404.775 |
| 4 | 2024-11-03 | 4.000 | 8.0 | 14.0 | 40.00 | 114.5 | 341.00 | 957.1 | 1818.30 | 3386.875 |
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from mosqlient import upload_prediction, validate_prediction, delete_prediction
repository = "luabida/request-forms"
disease = "A90" # classical dengue fever (ICD-10 code)
description = "test client prediction test client prediction"
commit = "553f9072811f486631ef2ef1b8cce9b0b93fdd0d"
adm_level = 1
adm_0 = "BRA"
adm_1 = 33
from mosqlient import upload_prediction, validate_prediction, delete_prediction
repository = "luabida/request-forms"
disease = "A90" # classical dengue fever (ICD-10 code)
description = "test client prediction test client prediction"
commit = "553f9072811f486631ef2ef1b8cce9b0b93fdd0d"
adm_level = 1
adm_0 = "BRA"
adm_1 = 33
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prediction = [
{'date': '2023-10-08',
'pred': 130.0630087219,
'lower_50': 64.6563301175,
'upper_50': 280.5943939369,
'lower_80': 32.7715676129,
'upper_80': 529.0823651209,
'lower_90': 19.7634401156,
'upper_90': 819.7679302514,
'lower_95': 14.5647742182,
'upper_95': 1119.2494557545},
{'date': '2023-10-15',
'pred': 131.0630087219,
'lower_50': 64.6563301175,
'upper_50': 280.5943939369,
'lower_80': 32.7715676129,
'upper_80': 529.0823651209,
'lower_90': 19.7634401156,
'upper_90': 819.7679302514,
'lower_95': 14.5647742182,
'upper_95': 1119.2494557545},
{'date': '2023-10-22',
'pred': 140.9282493778,
'lower_50': 68.0947116683,
'upper_50': 283.3416419942,
'lower_80': 38.1559721215,
'upper_80': 467.9837019041,
'lower_90': 29.0724041235,
'upper_90': 570.1088447846,
'lower_95': 20.5710939922,
'upper_95': 812.0206177898},
{'date': '2023-10-29',
'pred': 146.311727196,
'lower_50': 83.9681563191,
'upper_50': 269.2762179151,
'lower_80': 43.8474705676,
'upper_80': 475.8733213142,
'lower_90': 32.0158110879,
'upper_90': 686.0527627125,
'lower_95': 22.8857234205,
'upper_95': 954.4049002893},
{'date': '2023-11-05',
'pred': 168.562665686,
'lower_50': 83.083617406,
'upper_50': 341.601759918,
'lower_80': 45.0196227083,
'upper_80': 605.5791755229,
'lower_90': 35.8990412517,
'upper_90': 826.205356878,
'lower_95': 26.9593302335,
'upper_95': 1040.7480431728},
{'date': '2023-11-12',
'pred': 187.3437046073,
'lower_50': 97.5838763276,
'upper_50': 385.8824527375,
'lower_80': 46.2809972474,
'upper_80': 729.5727046996,
'lower_90': 32.0063099851,
'upper_90': 1059.0229307607,
'lower_95': 17.9949053303,
'upper_95': 1704.8993698299},
{'date': '2023-11-19',
'pred': 212.6062329859,
'lower_50': 103.8506166078,
'upper_50': 419.4422915578,
'lower_80': 55.7864148887,
'upper_80': 813.5450845122,
'lower_90': 33.9754609857,
'upper_90': 1204.406090486,
'lower_95': 29.0120686278,
'upper_95': 1540.3578812197},
{'date': '2023-11-26',
'pred': 224.1428557187,
'lower_50': 117.5550027369,
'upper_50': 463.0466893539,
'lower_80': 60.3681324206,
'upper_80': 897.6280168593,
'lower_90': 40.5069908436,
'upper_90': 1285.8695077717,
'lower_95': 28.1845162837,
'upper_95': 1767.1150600731},
{'date': '2023-12-03',
'pred': 246.320695959,
'lower_50': 116.992074592,
'upper_50': 509.9797905684,
'lower_80': 59.1491048628,
'upper_80': 1007.1655349314,
'lower_90': 38.7521846641,
'upper_90': 1515.134042713,
'lower_95': 25.5231704237,
'upper_95': 2388.1294468805},
{'date': '2023-12-10',
'pred': 274.3605887331,
'lower_50': 130.531592004,
'upper_50': 596.142748639,
'lower_80': 62.3626798561,
'upper_80': 1115.7428313017,
'lower_90': 47.3863549617,
'upper_90': 1652.6958022028,
'lower_95': 34.2172262186,
'upper_95': 2280.4710231036},
{'date': '2023-12-17',
'pred': 197.5285194218,
'lower_50': 88.3521838617,
'upper_50': 434.7314785868,
'lower_80': 51.7688843768,
'upper_80': 777.8860393673,
'lower_90': 36.677492573,
'upper_90': 1076.3996976435,
'lower_95': 25.0730074019,
'upper_95': 1542.421772249},
{'date': '2023-12-24',
'pred': 138.3622222338,
'lower_50': 66.3014098308,
'upper_50': 278.8189975675,
'lower_80': 34.099511387,
'upper_80': 520.0035871103,
'lower_90': 21.0688421137,
'upper_90': 817.1075828135,
'lower_95': 13.8717136074,
'upper_95': 1253.210970898},
{'date': '2023-12-31',
'pred': 460.4635388702,
'lower_50': 222.2429954745,
'upper_50': 896.3165193126,
'lower_80': 131.4694131963,
'upper_80': 1735.0022519886,
'lower_90': 91.2788956797,
'upper_90': 2462.2001898229,
'lower_95': 70.8743833427,
'upper_95': 2802.9747109622},
{'date': '2024-01-07',
'pred': 552.1634916291,
'lower_50': 331.6630694941,
'upper_50': 1009.4202863872,
'lower_80': 205.4931335233,
'upper_80': 1741.942012459,
'lower_90': 141.6127470829,
'upper_90': 2107.9330077946,
'lower_95': 115.0127147284,
'upper_95': 2773.6931304365},
{'date': '2024-01-14',
'pred': 648.3852715343,
'lower_50': 346.2242179923,
'upper_50': 1094.5352626741,
'lower_80': 229.5616365291,
'upper_80': 1719.4668966293,
'lower_90': 176.797861949,
'upper_90': 2424.9227469683,
'lower_95': 124.1036871318,
'upper_95': 3018.5191666752},
{'date': '2024-01-21',
'pred': 764.0976390243,
'lower_50': 396.2609278224,
'upper_50': 1228.7417861372,
'lower_80': 245.3332456425,
'upper_80': 2219.7019365013,
'lower_90': 181.0650852025,
'upper_90': 2949.7188971758,
'lower_95': 131.5637583162,
'upper_95': 4384.43909325},
{'date': '2024-01-28',
'pred': 881.0756484866,
'lower_50': 494.9418864623,
'upper_50': 1663.1134504974,
'lower_80': 274.6745122336,
'upper_80': 2731.1425672054,
'lower_90': 205.3848887071,
'upper_90': 3452.7330977023,
'lower_95': 179.4573081816,
'upper_95': 4189.67477386},
{'date': '2024-02-04',
'pred': 920.9489773363,
'lower_50': 525.1515089385,
'upper_50': 1589.2422469705,
'lower_80': 310.0440134361,
'upper_80': 2508.2247038722,
'lower_90': 237.2542773351,
'upper_90': 3425.2784566879,
'lower_95': 181.3615219811,
'upper_95': 4326.968282634},
{'date': '2024-02-11',
'pred': 945.5072122514,
'lower_50': 549.1897778474,
'upper_50': 1527.8390493095,
'lower_80': 358.6762209833,
'upper_80': 2140.0711533248,
'lower_90': 257.9669757333,
'upper_90': 2903.5955923974,
'lower_95': 216.2545527451,
'upper_95': 3582.891331476},
{'date': '2024-02-18',
'pred': 867.6546411067,
'lower_50': 579.8430516869,
'upper_50': 1453.2437881976,
'lower_80': 392.7838889152,
'upper_80': 2132.0080244362,
'lower_90': 313.8218940869,
'upper_90': 2822.4341153502,
'lower_95': 248.71440659,
'upper_95': 3771.9762806833},
{'date': '2024-02-25',
'pred': 1035.1176518053,
'lower_50': 651.0310801715,
'upper_50': 1767.6182516217,
'lower_80': 397.6167043835,
'upper_80': 2883.3448005915,
'lower_90': 321.5855433658,
'upper_90': 3927.1740694463,
'lower_95': 256.2592022752,
'upper_95': 5231.3487428427},
{'date': '2024-03-03',
'pred': 1285.9247945845,
'lower_50': 749.8477161229,
'upper_50': 2008.3169557452,
'lower_80': 496.6145937636,
'upper_80': 2966.6893052816,
'lower_90': 407.3141565226,
'upper_90': 3683.170333153,
'lower_95': 305.0960994218,
'upper_95': 4379.1536978513},
{'date': '2024-03-10',
'pred': 1300.2821415067,
'lower_50': 821.4851784483,
'upper_50': 1975.9994795918,
'lower_80': 564.1760245681,
'upper_80': 3058.3902176857,
'lower_90': 473.4221993811,
'upper_90': 3684.6320872366,
'lower_95': 392.3894879151,
'upper_95': 4303.2504649222},
{'date': '2024-03-17',
'pred': 1287.9565005898,
'lower_50': 819.4734562635,
'upper_50': 1994.501509577,
'lower_80': 533.5696169183,
'upper_80': 3126.4313550949,
'lower_90': 426.7681352243,
'upper_90': 3827.7620246112,
'lower_95': 345.6523362346,
'upper_95': 4924.9351797283},
{'date': '2024-03-24',
'pred': 1281.6969422698,
'lower_50': 828.1521465853,
'upper_50': 2091.9539377987,
'lower_80': 577.3130613297,
'upper_80': 3054.5322049022,
'lower_90': 434.5894071557,
'upper_90': 3828.6863211334,
'lower_95': 367.8065008324,
'upper_95': 4469.8623792887},
{'date': '2024-03-31',
'pred': 1214.2669969201,
'lower_50': 823.2168283537,
'upper_50': 1890.2339482158,
'lower_80': 555.5925535485,
'upper_80': 2957.8697650552,
'lower_90': 463.8832433701,
'upper_90': 3786.8366504252,
'lower_95': 407.6189853635,
'upper_95': 4457.4120196462},
{'date': '2024-04-07',
'pred': 1329.3237474561,
'lower_50': 911.821661666,
'upper_50': 2163.029199183,
'lower_80': 591.9243627146,
'upper_80': 3180.4408062816,
'lower_90': 493.4424003944,
'upper_90': 4105.0162512362,
'lower_95': 420.3938834831,
'upper_95': 4716.7691724092},
{'date': '2024-04-14',
'pred': 1309.3764847517,
'lower_50': 890.1827518493,
'upper_50': 2046.6639917344,
'lower_80': 638.8801368654,
'upper_80': 3042.5387629271,
'lower_90': 486.7818123162,
'upper_90': 3946.8153564811,
'lower_95': 384.5480581615,
'upper_95': 4781.9103041708},
{'date': '2024-04-21',
'pred': 1314.6576970816,
'lower_50': 842.827107951,
'upper_50': 2013.4224440306,
'lower_80': 543.3586167499,
'upper_80': 2981.1141859174,
'lower_90': 446.0180803478,
'upper_90': 3803.6422948301,
'lower_95': 334.9062555179,
'upper_95': 4768.1865691513},
{'date': '2024-04-28',
'pred': 1339.3167123199,
'lower_50': 890.3017056733,
'upper_50': 2100.4641629308,
'lower_80': 623.7874837697,
'upper_80': 2881.0886711836,
'lower_90': 478.5988121405,
'upper_90': 3731.9038307249,
'lower_95': 386.1245566364,
'upper_95': 4563.2048193127},
{'date': '2024-05-05',
'pred': 1234.1091556251,
'lower_50': 877.1435813233,
'upper_50': 1965.0222280771,
'lower_80': 564.221739535,
'upper_80': 2822.791848588,
'lower_90': 451.0617611542,
'upper_90': 3686.8150867581,
'lower_95': 364.3549013112,
'upper_95': 4436.1455013841},
{'date': '2024-05-12',
'pred': 1146.5202983469,
'lower_50': 755.7660203874,
'upper_50': 1810.1483213305,
'lower_80': 485.4242974967,
'upper_80': 2421.8685864449,
'lower_90': 378.8966328122,
'upper_90': 3129.9538927853,
'lower_95': 312.4491550058,
'upper_95': 3668.8273563027},
{'date': '2024-05-19',
'pred': 935.6148871034,
'lower_50': 632.0635168031,
'upper_50': 1405.0736761838,
'lower_80': 441.9318020657,
'upper_80': 2105.235779047,
'lower_90': 349.4079024978,
'upper_90': 2614.2161747038,
'lower_95': 287.5262267888,
'upper_95': 3048.693146944},
{'date': '2024-05-26',
'pred': 810.6838794649,
'lower_50': 525.518784143,
'upper_50': 1364.517663464,
'lower_80': 359.5769763187,
'upper_80': 1948.3962587833,
'lower_90': 296.3083812766,
'upper_90': 2586.9742163777,
'lower_95': 221.0821723321,
'upper_95': 2948.2241355151},
{'date': '2024-06-02',
'pred': 692.2821150571,
'lower_50': 466.1550961956,
'upper_50': 1085.4364727214,
'lower_80': 294.737718007,
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'lower_95': 89.1331221757,
'upper_95': 1294.6739537984},
{'date': '2024-07-14',
'pred': 265.4254921079,
'lower_50': 160.6750938706,
'upper_50': 426.0371984243,
'lower_80': 99.8957069006,
'upper_80': 660.4535236537,
'lower_90': 76.8358487931,
'upper_90': 839.1354266405,
'lower_95': 58.1147692428,
'upper_95': 1098.7386809453},
{'date': '2024-07-21',
'pred': 224.5044011734,
'lower_50': 138.0298022749,
'upper_50': 336.9128385037,
'lower_80': 89.2012862056,
'upper_80': 491.7277288273,
'lower_90': 68.2649502682,
'upper_90': 603.1319607168,
'lower_95': 53.2462988245,
'upper_95': 734.4364801504},
{'date': '2024-07-28',
'pred': 200.1412238143,
'lower_50': 113.9415320717,
'upper_50': 343.7706987038,
'lower_80': 68.9848214889,
'upper_80': 551.0879508033,
'lower_90': 55.131126165,
'upper_90': 771.5954454884,
'lower_95': 40.9626598518,
'upper_95': 1005.2896605447},
{'date': '2024-08-04',
'pred': 181.2218711935,
'lower_50': 109.0367739704,
'upper_50': 288.2556538172,
'lower_80': 67.5000833752,
'upper_80': 445.0839799777,
'lower_90': 50.6542424027,
'upper_90': 565.839817363,
'lower_95': 42.865200973,
'upper_95': 746.6504805833},
{'date': '2024-08-11',
'pred': 181.4724774435,
'lower_50': 105.7974463003,
'upper_50': 281.6694821827,
'lower_80': 60.4167232474,
'upper_80': 447.2905312315,
'lower_90': 45.9898288507,
'upper_90': 667.8558014795,
'lower_95': 34.6868515505,
'upper_95': 863.8276779428},
{'date': '2024-08-18',
'pred': 175.7549516968,
'lower_50': 101.010108524,
'upper_50': 282.0146600623,
'lower_80': 55.7947924508,
'upper_80': 420.9344660431,
'lower_90': 40.1639458019,
'upper_90': 597.2500632122,
'lower_95': 31.9833904367,
'upper_95': 746.8608678564},
{'date': '2024-08-25',
'pred': 145.6814679001,
'lower_50': 76.8154710522,
'upper_50': 270.2411007509,
'lower_80': 45.6940300779,
'upper_80': 422.4775052398,
'lower_90': 32.7357364643,
'upper_90': 567.749611517,
'lower_95': 26.831031293,
'upper_95': 745.2211294651},
{'date': '2024-09-01',
'pred': 168.1699581258,
'lower_50': 85.7333300943,
'upper_50': 298.8275782615,
'lower_80': 49.5711276738,
'upper_80': 471.5901294589,
'lower_90': 32.82742059,
'upper_90': 604.5461508468,
'lower_95': 24.8292881113,
'upper_95': 848.4333429746},
{'date': '2024-09-08',
'pred': 155.4083465226,
'lower_50': 81.017926163,
'upper_50': 295.067649655,
'lower_80': 45.2761410583,
'upper_80': 494.372936368,
'lower_90': 32.1230835164,
'upper_90': 662.7660858244,
'lower_95': 28.3174213235,
'upper_95': 927.6429508738},
{'date': '2024-09-15',
'pred': 159.0898777395,
'lower_50': 76.7204226758,
'upper_50': 282.4615541827,
'lower_80': 45.3781451048,
'upper_80': 466.0807324797,
'lower_90': 28.5426338299,
'upper_90': 671.5004179925,
'lower_95': 22.00197081,
'upper_95': 792.6810214154},
{'date': '2024-09-22',
'pred': 147.6989418045,
'lower_50': 73.4722444317,
'upper_50': 283.1708479952,
'lower_80': 44.469614622,
'upper_80': 524.8870212272,
'lower_90': 32.8169146939,
'upper_90': 696.6554854408,
'lower_95': 24.9901782443,
'upper_95': 934.0200534292},
{'date': '2024-09-29',
'pred': 173.167029351,
'lower_50': 82.8484889502,
'upper_50': 287.3640098386,
'lower_80': 45.0460164668,
'upper_80': 468.7958710894,
'lower_90': 30.6663064938,
'upper_90': 638.8647403598,
'lower_95': 19.7763193101,
'upper_95': 941.618870461}]
You can also validate the prediction before inserting into the Platform, the validation will return None if theres no validation errors or raise an Exception if there is.
In [14]:
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validate_prediction(
api_key=api_key,
repository=repository,
disease=disease,
description=description,
commit=commit,
case_definition="probable",
published=True,
adm_level=adm_level,
adm_0=adm_0,
adm_1=adm_1,
prediction=prediction
)
validate_prediction(
api_key=api_key,
repository=repository,
disease=disease,
description=description,
commit=commit,
case_definition="probable",
published=True,
adm_level=adm_level,
adm_0=adm_0,
adm_1=adm_1,
prediction=prediction
)
In [15]:
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pred = upload_prediction(
api_key=api_key,
repository=repository,
disease=disease,
description=description,
commit=commit,
case_definition="probable",
published=True,
adm_level=adm_level,
adm_0=adm_0,
adm_1=adm_1,
prediction=prediction
)
pred = upload_prediction(
api_key=api_key,
repository=repository,
disease=disease,
description=description,
commit=commit,
case_definition="probable",
published=True,
adm_level=adm_level,
adm_0=adm_0,
adm_1=adm_1,
prediction=prediction
)
In [16]:
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delete_prediction(api_key, pred.id)
delete_prediction(api_key, pred.id)
Out[16]:
<Response [200]>
In [17]:
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import pandas as pd
df_pred = pd.DataFrame(prediction)
import pandas as pd
df_pred = pd.DataFrame(prediction)
In [18]:
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pred_df = upload_prediction(
api_key=api_key,
repository=repository,
disease=disease,
description=description,
commit=commit,
case_definition="probable",
published=True,
adm_level=adm_level,
adm_0=adm_0,
adm_1=adm_1,
prediction=df_pred
)
pred_df
pred_df = upload_prediction(
api_key=api_key,
repository=repository,
disease=disease,
description=description,
commit=commit,
case_definition="probable",
published=True,
adm_level=adm_level,
adm_0=adm_0,
adm_1=adm_1,
prediction=df_pred
)
pred_df
Out[18]:
Prediction <7495>
PATCH¶
This patch endpoint is specifically to update the published field of a prediction:
In [19]:
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from mosqlient import update_prediction_status
update_prediction_status(api_key, pred_df.id, published=False)
from mosqlient import update_prediction_status
update_prediction_status(api_key, pred_df.id, published=False)
Out[19]:
<Response [201]>
In [20]:
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from mosqlient import delete_prediction
delete_prediction(api_key, pred_df.id)
from mosqlient import delete_prediction
delete_prediction(api_key, pred_df.id)
Out[20]:
<Response [200]>