I have been following TF development for some time but I am only now starting to work with it, consequently, whilst, any input will be welcome, pedagogical answers will be greatly appreciated...
In the TFP article and examples of Regression with Probabilistic errors at Medium.com
(which I have successfully run), the input data is considered without error bars.
I have a dataset in which the samples are time averaged and supplied with std. deviation info based on the raw data
Assuming that the errors are Gaussian (although I expect other common distributions would be easily accommodated) how can the error bars be input and exploited in the TFP examples for regression (especially the tabular rasa example)?
Note: this question was also asked at stack overflow but has so far received no replies, so I'm hoping that the stronger focus on the subject here will prove fruitful
(And, assuming the TFP team also follow this group, allow me to express my enormous admiration for your work!)
Thanks in advance