Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update README.md #303

Merged
merged 4 commits into from
Feb 1, 2025
Merged

Update README.md #303

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
df910f8
Update README.md
BalzaniEdoardo Feb 1, 2025
55c2f85
linted
BalzaniEdoardo Feb 1, 2025
a3bee71
fixed readme
BalzaniEdoardo Feb 1, 2025
dd6929f
linted with black new version
BalzaniEdoardo Feb 1, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 4 additions & 4 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -65,9 +65,9 @@ In this example, we'll construct a time-series of features using the basis objec
import nemos as nmo

# Instantiate the basis
basis_1 = nmo.basis.MSplineBasis(n_basis_funcs=5)
basis_2 = nmo.basis.CyclicBSplineBasis(n_basis_funcs=6)
basis_3 = nmo.basis.MSplineBasis(n_basis_funcs=7)
basis_1 = nmo.basis.MSplineEval(n_basis_funcs=5)
basis_2 = nmo.basis.CyclicBSplineEval(n_basis_funcs=6)
basis_3 = nmo.basis.MSplineEval(n_basis_funcs=7)

basis = basis_1 * basis_2 + basis_3

Expand Down Expand Up @@ -111,7 +111,7 @@ import nemos as nmo

# generate 5 basis functions of 100 time-bins,
# and convolve the counts with the basis.
X = nmo.basis.RaisedCosineBasisLog(5, mode="conv", window_size=100
X = nmo.basis.RaisedCosineLogConv(5, window_size=100
).compute_features(spike_counts)
```
#### Population GLM
Expand Down
2 changes: 1 addition & 1 deletion src/nemos/solvers/_compute_defaults.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@


def glm_compute_optimal_stepsize_configs(
model: Union[GLM, PopulationGLM]
model: Union[GLM, PopulationGLM],
) -> Tuple[Optional[Callable], Optional[Callable], Optional[float]]:
"""
Compute configuration functions for optimal step size selection based on the model.
Expand Down
7 changes: 6 additions & 1 deletion tests/test_utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -597,7 +597,12 @@ def __repr__(self):
# Falsey values excluded2
(Example(a=0, b=[], c={}), None, [], "Example(a=0, d=1)"),
# function without the __name__
(nmo.observation_models.PoissonObservations(deepcopy(jax.numpy.exp)),None, [], "PoissonObservations(inverse_link_function=<PjitFunction>)")
(
nmo.observation_models.PoissonObservations(deepcopy(jax.numpy.exp)),
None,
[],
"PoissonObservations(inverse_link_function=<PjitFunction>)",
),
],
)
def test_format_repr(obj, exclude_keys, use_name_keys, expected):
Expand Down