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the h2o.startGLMJob just says -
solver = c("ADMM",
"L_BFGS")
No default being mentioned.
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After seeing [Issue #114](https://github.com/MagneticResonanceImaging/MRIReco.jl/issues/114#issue-1397838023) on MRIReco.jl, I noticed that certain algorithms (e.g. ADMM) scale the data fidelity term …
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Nice package! Would it also be possible to use the same approach to fit other families/distributions, as one can do in glmnet, such as multivariate gaussian, multinomial, binomial or Poisson?
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Note that the optimization must fit into the ADMM framework. Otherwise, the run speed can be severely degraded.
Need a discussion with Michalk.
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We need to determine a robust testing framework for our logistic regression algorithms, starting with a review of the accuracy of the current ADMM code.
**Unregularized Problems**
- For unregula…
cicdw updated
7 years ago
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Cell #1:
```
import numpy as np
import matplotlib.pyplot as plt
from docplex.mp.model import Model
from qiskit import BasicAer
from qiskit.algorithms import QAOA, NumPyMinimumEigens…
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# Reference
# Brief
## Pruning
Name | Description
-- | --
AGP Pruner
Slim Pruner
FPGM Pruner
NetAdapt Pruner
SimulatedAnnealing Pruner
ADMM Pruner
AutoCompress Pruner
Prune-EA
#…
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For special weight matrices, we can provide even more efficient algorithms than the general-purpose ADMM or AMA methods.
- For w_ij are all equal, i.e., the graph is unweighted, we can use the algo…
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The current design of ADMM package funtions adopts the fluent style of programming, that is, the operations are done in a pipeline.
This can be friendly to interactive usage of model fitting functi…
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`Segmentation error (core dumped)`
After running `minimalCIL.py` @ [https://github.com/samdporter/SPECTissues.git](url)
CIL's admm causes failure. OSEM reconstruction works OK.
Ran valgrind &…