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added the models used for forecasting in documentation (#811)

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shreyas36 2022-11-15 01:59:36 +05:30 committed by GitHub
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notebook/automl_time_series_forecast.ipynb
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@ -235,7 +235,7 @@
"metadata": {},
"source": [
"### Run FLAML\n",
"The AutoML class provides a scikit-learn style estimator (with standard fit and predict functions) for AutoML. In the FLAML automl run configuration, users can specify the task type, time budget, error metric, learner list, whether to subsample, resampling strategy type, and so on. All these arguments have default values which will be used if users do not provide them.\n",
"The AutoML class provides a scikit-learn style estimator (with standard fit and predict functions) for AutoML. In the FLAML automl run configuration, users can specify the task type, time budget, error metric, learner list, whether to subsample, resampling strategy type, and so on. All these arguments have default values which will be used if users do not provide them. For example, the default estimators are `['lgbm', 'rf', 'xgboost', 'extra_tree', 'xgb_limitdepth', 'prophet', 'arima', 'sarimax']`. \n",
"\n",
"The documentation of AutoML class can be found here: [Documentation of AutoML](https://microsoft.github.io/FLAML/docs/reference/automl/#automl-objects)"
]
@ -7366,7 +7366,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
"version": "3.9.2"
},
"vscode": {
"interpreter": {