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As I have learned the metalearning feature has about 30 fixed configurations to try out. How many configuration should a autosklearn fit task try out as a rule of thumb?
Some of my datasets let the l…
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Paging @mfeurer @eddiebergman here for discussion.
The master/main branch of this contains a very bare bones POC version of auto-sklearn for fairness.
The following script runs on my system.
It c…
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https://github.com/moskomule/anatome/pull/11/files
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DeepChem has a large collection of models not all of which can be saved/reloaded. #2151 adds some first correctness tests for some of our models, but there are many more we need to fix. Let's use this…
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### The Issue
We have altered `dna/database_to_json.py` to now pull its data from a local mirror of the D3M Metalearning Database. The data in that database has a little more variety than the data …
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## 🚀 Feature
Currently, the [recommended approach to achieve reproducibility](https://pytorch.org/docs/stable/notes/randomness.html) is setting global random seeds. I would like to propose that ins…
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![Screenshot from 2021-03-02 12-57-36](https://user-images.githubusercontent.com/49358379/109613399-18994080-7b57-11eb-85b7-b04baf2a46e6.png)
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Here is my code:
```
from pandas import read_csv
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
from autosklearn.classification import AutoSklearn…
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Hello,
I'm working on a project using data from a longitudinal study that has many subjects tied to exam dates and associated features at each of those exam dates. Looking into the core task Spacet…
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In the demo example - what do we do if we need to implement an event detail page.
for each event - if we need an event detail page - do we create each page in index.yaml ?
for 1000's of events - t…