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### 🐛 Describe the bug
Found in PR #131065, where we enable tensor LR for all the optimizers.
After adding the tensor lr test sample to LBFGS sample inputs:
```python
OptimizerInput(
…
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Hello,
I'm working on a project and I use scikit-optimize for Bayesian optimization. Since I'm running my code on my home and work computer I found that the `gp_minimize() `optimization yields (sl…
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### 🚀 The feature, motivation and pitch
Currently, ```LBFGS```, ```NAdam``` and ```RAdam``` optimizers do not have the ```maximize``` parameter in their constructors, which means they cannot be use…
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Hey,
I am using this nice header-only LBFGS implementation to provide a geometry optimisation method in my molecular modelling program (https://github.com/conradhuebler/curcuma).
In order to hav…
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I want to optimize the initial condition of a dynamical system w.r.t. a criterion based on the system's trajectory. To this end, I use `jax.experimental.ode.odeint` inside of `tfp.optimizer.lbfgs_mini…
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@jadianes Nice tutorial on Logistic Regression, thankyou.
I ran the tutorial on Spark 1.6.2 and 2.1.0 - both ran fine and I could repeat your results perfectly in 1.6.2, but I would like to offer the …
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**data:**
- first 1000 sents in treebank3
**features:**
- x_i:y_i, y_{i-1}:y_i (i.e. hmm features)
**config:**
- 45 latent classes
- L1-regularized CRF objective strength 1.0
- batch lbfgs
- max lbf…
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From looking at several implementations of BO, many are running optional solvers in replacement of LBFGS, including:
- CMA-ES: https://pypi.python.org/pypi/cma
- DIRECT: https://pythonhosted.org/DIREC…
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### 🐛 Describe the bug
Traceback (most recent call last):
File "/home/ec2-user/experiments/kan/pykan/kan_exp_1.py", line 25, in
model.train(dataset, opt="LBFGS", steps=50);
File "/home/…
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The implemented following code snippet for binary classification on tabular data, using stratified K-fold cross-validation (K=10). The performance results seem exceptionally good. Can someone help re…