Eduard Samokhvalov
Eduard Samokhvalov
### Expected Behavior Is there an elegant and simple way to visualize a few trading models plotted on 1 chart? In fact a lot of projects like mine are centered...
Problem: can't see ALL cores utilized while doing classification and predict catboost version: latest Operating System: Windows CPU: 32 core machine GPU: none Guys, I'm running this simple code from...
**Problem**: can I use CatBoost to classify around 40,000 different data series with various numeric properties (like stationarity, some other math metrics pre-calculated and assigned as features, some categorical labels,...
Gents, I was reading a few articles in the internet on how to choose the best seasonality mode, but the answer is still not too clear to me. For example...
Gents, I have a typical issue installing fbprophet package on Windows with pip. Now it's something else :-) Below is the log, here're my specs: Windows Server 2019 64-bit OS,...
Hi gents. Imagine we have some really strong moves on the historic data (think BTC 2017 or market moves in October 2008), then 1) when we generate yearly seasonality with...
Problem: can a model stored into a file be updated with new data to retrain? catboost version: latest Operating System: any CPU: GPU:
Problem: CPU load is very small catboost version: latest Operating System: windows server CPU: 32 cores GPU: no Guys, need an advise. I'm running the generation for 2 models, every...
Gents, I'm lookin for a way to use this format for my signals with vectorbt, it's EOD, so if predict >0 and predict>=threshold, then pnl=close-open, elif predict
https://youtu.be/usdEWSDisS0?t=3775 here Anna Veronica is saying that one can use own metric to evaluate model's performance. **Notebook** https://github.com/catboost/catboost/blob/671611e0a1ae47c03e7b2b52c06bdd91aeb23a5c/catboost/tutorials/events/2019_pydata_london/pydata_london_2019.ipynb#L4 **Section:** Metric evaluation on a new dataset Can you clarify what would...