0.1.6

NeMoS New Release

In this new release:

• Simplified API for GLM: You can now set regularization using a string. All regularization and solver hyperparameters can be passed during GLM initialization.

  import nemos as nmo
  model = nmo.glm.GLM(regularizer="Ridge", regularizer_strength=0.1)

• New TransformerBasis API: All Basis attributes are now available in TransformerBasis, facilitating inspection and cross-validation. See the updated tutorial in the API guide.

  import nemos as nmo
  transformer_basis = nmo.basis.RaisedCosineBasisLinear(10).to_transformer()
  print(transformer_basis.n_basis_funcs)  # prints 10

• Bounds for Basis: Added support for specifying bounds for the range of values covered by a basis function.

What's Changed

• quickfix by @BalzaniEdoardo in #175
• improved docstrings by @BalzaniEdoardo in #182
• run ci only for non-draft prs by @BalzaniEdoardo in #192
• Refactoring regularizer and solver by @clewis7 in #183
• add tests for checking get_params() by @clewis7 in #200
• Provide a range for basis by @BalzaniEdoardo in #191
• update contributing guide by @clewis7 in #198
• fix convergence tests by @clewis7 in #206
• Update TransformerBasis and Basis to work with scikit-learn pipelining and CV by @bagibence in #169
• fixed basis call docstrings by @BalzaniEdoardo in #209

New Contributors

• @clewis7 made their first contribution in #183 🚀 🚀 🚀
• @bagibence made their first contribution in #169 🚀 🚀 🚀

Full Changelog: 0.1.5...0.1.6

NeMoS version 0.1.5

New with this release:

• `GammaObservations model, for fitting Gamma-GLMs.
• GLMs' update and initialize_solver methods for batching

NeMoS version 0.1.4

New with this release:

• GammaObservations model, for fitting Gamma-GLMs.

• GLMs' update and initialize_solver methods for batching

Compatiblity with `pynapple>=0.6.5`

This update make sure that nemos is compatible with pynapple>=0.6.5.

`nemos` for GLM and `PopulationGLM`

Release of the package tested for python 3.9, 3.10, and 3.11. Current modules include basis.py for feature construction and glm for single neuron and population GLM modeling.

`nemos` first release

First working release of nemos.

Reserve package name on PyPI

This is an alpha version of the code. We are releasing this version with the aim of reserving the package name on PyPI