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I came across your jupyter notebook and was pleased to find solutions to a problem that had been giving me headaches, that is, classification of data from a dataframe with columns that have numeric at…
ghost updated
6 years ago
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> If you're new to the contribution process, check this out the [CONTRIBUTING.md](https://github.com/johnpaulada/statestes/blob/master/CONTRIBUTING.md) instructions.
Create a function `pearsonR` th…
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### MAPE 랑 r2의 관계
128,50000,128 에 중복된 데이터가 있어서
128,50000,128,A(2252)
128,50000,128,B(2249)
A를 input_data에서 삭제할 경우
http://203.246.113.170:8891/notebooks/Prediction-Model/Gradient-Boosting/…
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Evaluate using Shucker's metric (i.e. correlation between predicted ranking and actual ranking according to number of games).
- [x] For each player, export their leaf node
- [ ] For each leaf, ex…
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바꿀부분
>A com- parison with the state-of-the-art cloud computing performance predictor reveals that MPEC provides 16% greater accuracy for a distributed matrix multiplication task and confirms the u…
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Per Oct 2017 Data Quality hackathon breakout group, add CMAQ model bias/error info to Exposures API as an indicator of data quality of CMAQ model.
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All of the options in the dropdowns should follow standard capitalization and spacing rules, and b alphabetized. Adding small hints for now, until Qiime2 gets better, should also reduce user confusion…
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hi, 我也在做这方面的工作，并且合作了
https://github.com/huyingxi/Synonyms/
看了您这个工具，咱们可以比较一下。
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Throughout we're using the mean squared contingency coefficient; my (related) metric can be interpreted like a _p_-value, whereas the $r_\phi$ is more interpretable, analogous to the linear Pearson co…
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I want to be able to implement pearson's correlation coefficient, to be reported at each epoch (my model is a deep network for regression, I want to correlate y_true and y_pred).
The following work…