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ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from pas...

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I was trying to generate DBN_output.log using below command. python2 bin/run_inference.py < content/stats.log I have used default config file. Content of stats.log is below, how can we generate DBN_output.log. 1c2aa70e-b31b-43c9-a4e5-769377682d2b...

Thanks for sharing the code. When I tested the UBM model, I encountered a question. We all know that UBM uses the EM algorithm to estimate the parameter. For example,...

hi i find another version of dbn model。 it has so much difference with your verison。 can you explain whoes is right? another version address: https://github.com/markovi/PyClick

what's output fields means?

def _getSessionEstimate(self, positionRelevances, layout, clicks, intent): .... gamma = self.getGamma(self.gammas, k, layout, intent) # E_k_multiplier --- P(S_k = 0 | C_k) P(C_k | E_k = 1) if C_k == 0:...

We have lots of class methods, but only "test" a subset of them by running `./inference.py < data/click_log_sample.tsv 2>inference.log` We need a proper unit-testing.

Currently all the new code has to support the intent probabilities. This requires thinking about correct probabilities and marginalization all the time and just makes the code complex. We should...

enhancement