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is there a reason why the agents were implemented this way?
any paper that proves that it gives an advantage over the "normal" method (if bought/sold true -> only close position or nothing)?
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I followed the example https://github.com/tensorflow/probability/blob/master/tensorflow_probability/examples/jupyter_notebooks/Structural_Time_Series_Modeling_Case_Studies_Atmospheric_CO2_and_Electric…
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I am starting to get more familiar with DICE. It is a fantastic library thanks a lot guys.
I wanted to ask what it is your roadmap for improvements (apart from the things mentioned in the intro doc…
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**Version 0.2**
Id | Models | Code | Test | Documentation
--- | ---------------------------------- | -------- |--------|--------------…
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I have a general question (rather than a bug report) on the "best practice" for modelling exogenous variables within and IRIS model file for a (semi-)structural model.
I am look at replicating the …
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Hi everyone,
First of all Thanks so much for providing such a well organized and easy to understand and well documented tool for quantitative MRI data analysis.
Is there currently an in built fu…
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**Electricity Consumption**
https://nbviewer.jupyter.org/github/cs109-energy/cs109-energy.github.io/blob/master/iPython/Exploratory%20Analysis.ipynb
https://machinelearningmastery.com/how-to-load-an…
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Hi,
Thank you so much for this! It's been a life saver. I got your model to run on one of my datasets, but I ran into a problem with higher degrees. With k = 2 and k = 3 models on my dataset, the c…
lpkoh updated
3 years ago
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I know this is probably off-topic but I'm looking for good resources to go paste the copy/paste/simply reworking existing examples steps.
Basically, where can I go to, past the tutorials and occasi…
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In this submission, the authors present a Gaussian Process code for modelling multi-wavelength astronomical time series. This code combines the efficiency of the GpyTorch library with the flexibility …