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Quantum Tinkerer
adaptive-paper
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fd9a0f11
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fd9a0f11
authored
5 years ago
by
Bas Nijholt
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@@ -239,7 +239,7 @@ Here, we see that for homogeneous sampling to get the same error as sampling wit
We will now introduce Adaptive's API.
The object that can suggest points based on existing data is called a
*learner*
.
The learner abstracts a loss based priority queue.
We can either
*ask*
it for points or
*tell*
the
`
learner
`
new data point.
We can either
*ask*
it for points or
*tell*
the
*
learner
*
new data point.
We can define a
*learner*
as follows
```
python
from
adaptive
import
Learner1D
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