👍 Use an Azure AI endpoint To use an Azure AI endpoint, set thebase_url
argument:nixtla_client = NixtlaClient(base_url="you azure ai endpoint", api_key="your api_key")
timestamp | value | |
---|---|---|
0 | 1949-01-01 | 112 |
1 | 1949-02-01 | 118 |
2 | 1949-03-01 | 132 |
3 | 1949-04-01 | 129 |
4 | 1949-05-01 | 121 |
timestamp | TimeGPT | TimeGPT-q-10 | TimeGPT-q-20 | TimeGPT-q-30 | TimeGPT-q-40 | TimeGPT-q-50 | TimeGPT-q-60 | TimeGPT-q-70 | TimeGPT-q-80 | TimeGPT-q-90 | |
---|---|---|---|---|---|---|---|---|---|---|---|
0 | 1961-01-01 | 437.837952 | 431.987091 | 435.043799 | 435.384363 | 436.402155 | 437.837952 | 439.273749 | 440.291541 | 440.632104 | 443.688812 |
1 | 1961-02-01 | 426.062744 | 412.704956 | 414.832837 | 416.042432 | 421.719196 | 426.062744 | 430.406293 | 436.083057 | 437.292651 | 439.420532 |
2 | 1961-03-01 | 463.116577 | 437.412564 | 444.234985 | 446.420233 | 450.705762 | 463.116577 | 475.527393 | 479.812921 | 481.998169 | 488.820590 |
3 | 1961-04-01 | 478.244507 | 448.726837 | 455.428375 | 465.570038 | 469.879114 | 478.244507 | 486.609900 | 490.918976 | 501.060638 | 507.762177 |
4 | 1961-05-01 | 505.646484 | 478.409872 | 493.154315 | 497.990848 | 499.138708 | 505.646484 | 512.154260 | 513.302121 | 518.138654 | 532.883096 |
📘 Available models in Azure AI If you are using an Azure AI endpoint, please be sure to setTimeGPT will return forecasts in the formatmodel="azureai"
:nixtla_client.forecast(..., model="azureai")
For the public API, we support two models:timegpt-1
andtimegpt-1-long-horizon
. By default,timegpt-1
is used. Please see this tutorial on how and when to usetimegpt-1-long-horizon
.
TimeGPT-q-{int(100 * q)}
for each quantile q
.
add_history=True
parameter as follows:
timestamp | TimeGPT | TimeGPT-q-10 | TimeGPT-q-20 | TimeGPT-q-30 | TimeGPT-q-40 | TimeGPT-q-50 | TimeGPT-q-60 | TimeGPT-q-70 | TimeGPT-q-80 | TimeGPT-q-90 | |
---|---|---|---|---|---|---|---|---|---|---|---|
0 | 1951-01-01 | 135.483673 | 111.937768 | 120.020593 | 125.848879 | 130.828935 | 135.483673 | 140.138411 | 145.118467 | 150.946753 | 159.029579 |
1 | 1951-02-01 | 144.442398 | 120.896493 | 128.979318 | 134.807604 | 139.787660 | 144.442398 | 149.097136 | 154.077192 | 159.905478 | 167.988304 |
2 | 1951-03-01 | 157.191910 | 133.646004 | 141.728830 | 147.557116 | 152.537172 | 157.191910 | 161.846648 | 166.826703 | 172.654990 | 180.737815 |
3 | 1951-04-01 | 148.769363 | 125.223458 | 133.306284 | 139.134570 | 144.114625 | 148.769363 | 153.424102 | 158.404157 | 164.232443 | 172.315269 |
4 | 1951-05-01 | 140.472946 | 116.927041 | 125.009866 | 130.838152 | 135.818208 | 140.472946 | 145.127684 | 150.107740 | 155.936026 | 164.018852 |
quantiles
argument can also be included in the cross_validation
method, allowing comparing the performance of TimeGPT across different
windows and different quantiles.
timestamp | TimeGPT | TimeGPT-q-10 | TimeGPT-q-20 | TimeGPT-q-30 | TimeGPT-q-40 | TimeGPT-q-50 | TimeGPT-q-60 | TimeGPT-q-70 | TimeGPT-q-80 | TimeGPT-q-90 | |
---|---|---|---|---|---|---|---|---|---|---|---|
0 | 1951-01-01 | 135.483673 | 111.937768 | 120.020593 | 125.848879 | 130.828935 | 135.483673 | 140.138411 | 145.118467 | 150.946753 | 159.029579 |
1 | 1951-02-01 | 144.442398 | 120.896493 | 128.979318 | 134.807604 | 139.787660 | 144.442398 | 149.097136 | 154.077192 | 159.905478 | 167.988304 |
2 | 1951-03-01 | 157.191910 | 133.646004 | 141.728830 | 147.557116 | 152.537172 | 157.191910 | 161.846648 | 166.826703 | 172.654990 | 180.737815 |
3 | 1951-04-01 | 148.769363 | 125.223458 | 133.306284 | 139.134570 | 144.114625 | 148.769363 | 153.424102 | 158.404157 | 164.232443 | 172.315269 |
4 | 1951-05-01 | 140.472946 | 116.927041 | 125.009866 | 130.838152 | 135.818208 | 140.472946 | 145.127684 | 150.107740 | 155.936026 | 164.018852 |