AmosJoseph

chaospy.Normal(0.253,0.02024

1

Samples of chaospy.Normal(0.253,0.02024) are all positive, however in theory Normal distribution can get negative samples. But why? Peace!

Data driven PCE to conduct uncertainty quantification and sensitivity analysis

3

Y=F(Xi),i=1.2.3.4.5 pdf of Xi is known.Then how to construct PCE through samples of Xi and Y? I have seen the Data Driven PCE in tourial of Kernel Density Estimation,is this...

分类，回归，交叉验证

4

能不能添加一个回归的例子？ 然后分类和回归分别采用交叉验证？

Multi-fidelity neural network with uncertainty quantification

2

Hi, I wonder if Multi-fidelity neural network with uncertainty quantification can be implemented as below: dropout_rate = 0.01 net = dde.nn.MfNN( [4] + [20] * 4 + [1], [20] *...

您好！请问下， 默认情况下，获得优化目标的最大值还是最小值呢？ 谢谢！

sampling for several times or one-shot at one time

1

Pardon, sorry to bother! But I write to ask what is the difference between the two usage below: 1. first get 300 samples, then get other 300 samples samples =distribution.sample(size...

maximize the output of a built neural net( by pytorch) with continuous and discrete/integer variables

5

Hi, can this library be used to maximize the output of a well-built neural net( by pytorch) with continuous and discrete/integer (1, 2, 3 ) variables? Is there any example?...

I trained a neural network and tested it with good accuracy. Based on the built neural network, how to obtain the maximum of the output of it in the domain?...

Hi, pardon, Weight Uncertainty is considered, but why bias Uncertainty is not?

MFNN test dataset

1

Hi, MFNN is built based on low-fidelity data and high-fidelity data. I'm writing to ask what's the size of test dataset using high-fidelity data for the purpose of predictive accuracy....