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Implement cross-validation techniques to assess the robustness of the predictive models by partitioning historical trading data into subsets, training models on different combinations, and evaluating …
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The `deploy_local` function calls `agent.run(market_type=Omen` ( (in the test) , which leads to the function `redeem_from_all_user_positions` being called (https://github.com/gnosis/prediction-market…
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# Overview
TimeSeriesSplit と GroupKFold のハイブリッド
https://github.com/IMOKURI/ubiqu…
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### Description
This issue was created to guide readers on how to do Stock Market Price Prediction using LSTM. The libraries used will be pandas, numpy, matplotlib, sklearn, lstm, etc.
It will i…
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In our PMA agent app, this was the memory in the morning:
And this is the memory…
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Hi @soumith,
Thanks for providing a torch version of google/inception. I made predictions on the same image using caffe2-based ipython notebook and example.lua in this repository. I encountered a dif…
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Hey @Niketkumardheeryan , I would like to add car price predictions in your repo.
To be able to predict used cars market value can help both buyers and sellers. There are lots of individuals who ar…
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We should improve the prompt for the general agent to make sure of the following:
-> It should also call `sell` function for positions it thinks are undervalued - according to Martin, even an expli…
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One of the main users for Prediction Market are bookies. They create new Prediction Market Assets everyday depend on event or every minute eg. Binary Option expire in 1 minute/5 minutes/1 Hour/1Day. …
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```
# Multiple time series with xreg
# Load packages and data
library(tidyverse)
library(reticulate)
df