# Predict new value POD Summary

**URL:** <https://openturns.discourse.group/t/predict-new-value-pod-summary/244>\
**Category:** Python usage\
**Created:** [September 30, 2022, 6:01am UTC](https://openturns.discourse.group/t/predict-new-value-pod-summary/244 "2022-09-30T06:01:16Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![cnkhanh](https://avatars.discourse-cdn.com/v4/letter/c/2acd7d/32.png) [@cnkhanh](https://openturns.discourse.group/u/cnkhanh)\
**Post date:** [September 30, 2022, 6:01am UTC](https://openturns.discourse.group/t/predict-new-value-pod-summary/244/1 "2022-09-30T06:01:16Z")

</div>

I trained the models as this example  
[https://openturns.github.io/otpod/master/examples/PODSummary.html](https://openturns.github.io/otpod/master/examples/PODSummary.html)

In case, I turned on all the POD methods, the results of “POD.getMethodActive()” should be like the below:

```auto
{'LinearGauss': True,
 'LinearBinomial': True,
 'LinearKernelSmoothing': True,
 'QuantileRegression': True,
 'PolynomialChaos': True,
 'Kriging': True}

```

I want to predict new output values for the new input data (for example: [4.5, 4.2, 1.1, 2.6]) using the trained models,  
If the model is Kriging, I predicted the new output like,

```auto
POD.getKrigingPOD().getKrigingResult().getMetaModel()(POD._PODkriging._transformation([4.5, 4.2, 1.1, 2.6]))

```

How about the other models? How can I predict new output values using them?